openfda-mcp-server

endpoint

https://openfda.caseyjhand.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is openfda-mcp-server live?

Yes — it answered the hub's last check (checked 52m ago). It answered 99% of checks over the last 30 days.

Is openfda-mcp-server free to use?

Yes — the hub reached it with no key and no payment.

What tools does openfda-mcp-server have?

14 tools: openfda_dataframe_query, openfda_describe_fields, openfda_search_adverse_events, openfda_dataframe_describe, openfda_search_device_clearances, openfda_drug_profile, openfda_get_drug_label, openfda_count_values, ….

Is openfda-mcp-server safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• openfda_search_drug_shortages reads open 8h ago

  Search FDA drug shortage records. Returns per-product shortage status, availability, therapeutic category, dosage form, manufacturer, and dates. Use to check whether a drug is currently in shortage, find all oncology drugs with supply issues, or retrieve the openfda block (brand_name, product_ndc, rxcui) to chain into openfda_get_drug_label or openfda_lookup_ndc. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: update_date:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query using field:value syntax. Examples: status:\"Current\", therapeutic_category:\"Oncology\", generic_name:\"carboplatin\", company_name:\"pfizer\". Omit to browse all records. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request. Call openfda_describe_fields({ endpoint: \"drug/shortages\" }) for the complete field list."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• openfda_search_animal_events reads open 18h ago

  Search adverse event reports for veterinary drugs and devices submitted to the FDA Center for Veterinary Medicine. Records include animal species, breed, age, weight, drug name and route, adverse reactions (using VeDDRA terminology), and outcome. Use to investigate safety signals for veterinary products, find reports by animal species or drug, or explore reaction patterns. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: original_receive_date:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query using field:value syntax. Examples: animal.species:\"Dog\", drug.brand_name:\"Bravecto\", reaction.veddra_term_name:\"Vomiting\", serious_ae:\"true\". Omit to browse recent reports. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• openfda_search_tobacco_reports reads open 18h ago

  Search problem reports submitted to the FDA for tobacco products, including e-cigarettes, vaping products, cigarettes, and smokeless tobacco. Reports capture product type, reported health problems (e.g. seizure, chest pain), product problems (e.g. exploding battery), whether a non-user was affected, and submission date. Use to investigate safety signals, find reports by product type, or analyze health effects. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: date_submitted:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query using field:value syntax. Examples: tobacco_products:\"Electronic cigarette\", reported_health_problems:\"Seizure\", nonuser_affected:\"Yes\". Omit to browse recent reports. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• openfda_search_drug_approvals reads open 18h ago

  Search the Drugs@FDA database for drug application approvals (NDAs and ANDAs). Returns application details, sponsor info, and full submission history. Pair with openfda_get_drug_label to read the approved label, or openfda_count_values to aggregate by sponsor_name, product_type, or route. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: submissions.submission_status_date:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures. A record carries its application's whole submission history, so a long-running application is an order of magnitude larger than a recent one."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query. Examples: openfda.brand_name:\"humira\", sponsor_name:\"PFIZER\", submissions.submission_type:\"ORIG\" AND submissions.review_priority:\"PRIORITY\". Exact quoted values can be case-sensitive on some fields — sponsor_name is stored uppercase, so use sponsor_name:\"PFIZER\" (a lowercase quoted value returns no matches). Omit to browse recent. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• openfda_dataframe_query reads unknown 52m ago

  Run a read-only SQL SELECT against a DataCanvas table staged by an openFDA search tool (call one with stage=true; its response carries canvas_id + canvas_table). Enables GROUP BY, COUNT/SUM/AVG, time-series, and joins across the staged result set without re-paging the API. Call openfda_dataframe_describe first to get the exact table and column names. Results are capped at the canvas row limit — when truncated is true, page the rest with ORDER BY plus LIMIT/OFFSET. Scalar fields are stored as text (CAST for numeric math); nested objects/arrays are JSON columns — read them with DuckDB json functions, e.g. json_extract_string(openfda, '$.brand_name[0]'). Only SELECT is allowed — DDL, DML, COPY, and file-reading functions are blocked.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "canvas_id",
      "query"
    ],
    "properties": {
      "query": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "SQL SELECT against the staged table. Use the table name from openfda_dataframe_describe. Example: \"SELECT classification, COUNT(*) AS n FROM spilled_ab12cd34 GROUP BY classification ORDER BY n DESC\"."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID from the canvas_id field of an openFDA search tool response (openfda_search_* or openfda_lookup_ndc), present when the search ran with stage=true."
      }
    },
    "additionalProperties": false
  }

  arguments 22 lines copy
• openfda_describe_fields reads unknown 24h ago

  Return the searchable field paths for an openFDA endpoint, grouped by category with type and description. Use before constructing a search query to find the correct dotted field path — field names differ per endpoint and are not discoverable from the tool schema alone.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "endpoint"
    ],
    "properties": {
      "endpoint": {
        "enum": [
          "drug/event",
          "drug/label",
          "drug/enforcement",
          "drug/ndc",
          "drug/drugsfda",
          "drug/shortages",
          "food/event",
          "food/enforcement",
          "device/event",
          "device/510k",
          "device/pma",
          "device/recall",
          "device/enforcement",
          "device/classification",
          "device/registrationlisting",
          "device/udi",
          "device/covid19serology",
          "animalandveterinary/event",
          "tobacco/problem",
          "other/substance"
        ],
        "type": "string",
        "description": "openFDA endpoint to describe (e.g. \"drug/event\", \"drug/shortages\", \"device/510k\"). Must be one of the cataloged endpoints."
      }
    },
    "additionalProperties": false
  }

  arguments 36 lines copy
• openfda_search_adverse_events reads unknown 11h ago

  Search adverse event reports across drugs, food, and devices. Use to investigate safety signals, find reports for a specific product, or explore reactions by demographics. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "category"
    ],
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. Sortable date fields are category-specific: drug → receivedate:desc (or receiptdate), food → date_created:desc (or date_started), device → date_received:desc (or date_of_event). A field from another category (e.g. receivedate on food or device) causes a query error — use the field for this category."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures. Drug reports are by far the largest — a single drug/event report averages tens of kilobytes where a food/event report is a few hundred bytes."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query. Examples: patient.drug.medicinalproduct:\"aspirin\", patient.reaction.reactionmeddrapt:\"nausea\" AND serious:\"1\". Omit to browse recent. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "category": {
        "enum": [
          "drug",
          "food",
          "device"
        ],
        "type": "string",
        "description": "Product category — each has different field schemas in the response"
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 54 lines copy
• openfda_dataframe_describe reads unknown 52m ago

  List the tables and column schemas on a DataCanvas staged by an openFDA search tool. Call before openfda_dataframe_query to discover the exact table name, column names, and DuckDB types needed for valid SQL. row_count is the full staged result set, not the inline preview count. Columns typed JSON hold nested openFDA objects/arrays — query them with DuckDB json functions.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "canvas_id"
    ],
    "properties": {
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID from the canvas_id field of an openFDA search tool response (openfda_search_* or openfda_lookup_ndc), present when the search ran with stage=true."
      }
    },
    "additionalProperties": false
  }

  arguments 15 lines copy
• openfda_search_device_clearances reads unknown 8h ago

  Search FDA device premarket notifications — 510(k) clearances and PMA approvals. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "pathway"
    ],
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: decision_date:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures. A 510(k) record carries a summary narrative and is several times the size of a PMA record."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query. Examples: applicant:\"medtronic\", advisory_committee_description:\"cardiovascular\", product_code:\"DXN\", openfda.device_name:\"catheter\". Omit to browse recent. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "pathway": {
        "enum": [
          "510k",
          "pma"
        ],
        "type": "string",
        "description": "Premarket pathway. 510(k) is the most common; PMA is for higher-risk devices."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 53 lines copy
• openfda_drug_profile reads unknown 24h ago

  Resolve one drug name to its FDA identity, then fan out in parallel across the bounded per-drug openFDA endpoints and merge into one profile: identity, label highlights, adverse-event summary, recall history, Drugs@FDA approval, and shortage status. Replaces chaining openfda_get_drug_label, openfda_search_adverse_events, openfda_search_recalls, openfda_search_drug_approvals, and openfda_search_drug_shortages — and reconciles the identifier drift between endpoints that makes that chaining error-prone. Each section is best-effort: a miss returns null rather than failing the call. For deep dives into any one area, use the dedicated tool.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "drug"
    ],
    "properties": {
      "drug": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "Drug name to profile — brand or generic (e.g. \"metformin\", \"Humira\", \"Glucophage\"). Resolved once to canonical FDA identifiers, which then key every sub-query."
      }
    },
    "additionalProperties": false
  }

  arguments 16 lines copy
• openfda_get_drug_label reads unknown 24h ago

  Look up FDA drug labeling (package inserts / SPL documents). Check indications, warnings, dosage, contraindications, active ingredients, or any structured label section. A label runs to tens of thousands of tokens, so a page that exceeds the inline budget returns the list of available sections instead; re-call with sections to pull the ones you need.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "search"
    ],
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: effective_time:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 5,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of results to return (1-1000). Default 5. Labels are large, and the cost of a sections selection is the section summed across every record on the page — so it scales with this limit. Lower it before widening a selection."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "Query targeting label fields. Examples: openfda.brand_name:\"aspirin\", openfda.generic_name:\"metformin\", openfda.manufacturer_name:\"pfizer\". For a specific revision, pass set_id with the SPL UUID returned in earlier results. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "sections": {
        "type": "array",
        "items": {
          "type": "string",
          "pattern": "\\S",
          "minLength": 1,
          "description": "A top-level label section name."
        },
        "description": "Label sections to return, e.g. [\"boxed_warning\",\"indications_and_usage\"]. Names come from the outline an oversized page returns, or from openfda_describe_fields. Omit for the whole label — which returns the section outline instead when the page exceeds the inline size budget; an empty list is treated as omitted. A selection is returned whole even when it exceeds that budget, with its serialized size reported on the notice; the outline names a section measured to fit at the requested limit. Sections ending in _table hold SPL table markup: raw in structured results, rendered as Markdown tables in the text output. Metadata (openfda, set_id, id, effective_time, version) is returned either way and counts toward the size."
      }
    },
    "additionalProperties": false
  }

  arguments 45 lines copy
• openfda_count_values reads unknown 52m ago

  Aggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending. Pair with openfda_search_adverse_events, openfda_search_drug_approvals, openfda_search_device_clearances, openfda_search_recalls, openfda_get_drug_label, or openfda_lookup_ndc when sample records help interpret the aggregates.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "endpoint",
      "count"
    ],
    "properties": {
      "count": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "Field to count. openfda_describe_fields gives the verified expression per field as countAs (null = not countable in any form). Otherwise: append .exact for whole-phrase counting of free-text fields (e.g. \"patient.reaction.reactionmeddrapt.exact\"); count identifier fields openFDA already indexes as keywords (product_ndc, application_number, pma_number) bare — .exact on those is rejected as not countable."
      },
      "limit": {
        "type": "number",
        "default": 100,
        "maximum": 1000,
        "minimum": 1,
        "description": "Number of top terms to return (default 100, max 1000 — openFDA's own count maximum). truncated reports whether more distinct terms exist beyond it, except at the maximum itself, where openFDA offers no way to tell."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "Filter query to scope the count (e.g. patient.drug.medicinalproduct:\"metformin\"). Omit to count across every record in the endpoint. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "endpoint": {
        "enum": [
          "drug/event",
          "drug/label",
          "drug/enforcement",
          "drug/ndc",
          "drug/drugsfda",
          "drug/shortages",
          "food/event",
          "food/enforcement",
          "device/event",
          "device/510k",
          "device/pma",
          "device/recall",
          "device/enforcement",
          "device/classification",
          "device/registrationlisting",
          "device/udi",
          "device/covid19serology",
          "animalandveterinary/event",
          "tobacco/problem",
          "other/substance"
        ],
        "type": "string",
        "description": "Full openFDA endpoint path (e.g. \"drug/event\", \"device/classification\")"
      }
    },
    "additionalProperties": false
  }

  arguments 56 lines copy
• openfda_lookup_ndc reads unknown 11h ago

  Look up drugs in the NDC (National Drug Code) Directory. Identify drug products by NDC code, find active ingredients, packaging details, or manufacturer info. Pair with openfda_get_drug_label using the returned brand_name or set_id to read the package insert. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "search"
    ],
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort. Example: listing_expiration_date:desc. Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures. A record grows with its packaging list, so a product with many package configurations is several times the size of one with a single package."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query. Examples: product_ndc:\"0363-0218\", brand_name:\"aspirin\", generic_name:\"metformin\", openfda.manufacturer_name:\"walgreen\", active_ingredients.name:\"ASPIRIN\". Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or an openFDA search tool (openfda_search_*). Passing one stages this lookup onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 45 lines copy
• openfda_search_recalls reads unknown 8h ago

  Search enforcement reports and recall actions across drugs, food, and devices. With stage=true, call openfda_dataframe_describe for the staged columns, then openfda_dataframe_query for SQL.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "category"
    ],
    "properties": {
      "skip": {
        "type": "number",
        "default": 0,
        "minimum": 0,
        "description": "Number of records to skip for pagination (default 0). openFDA caps pagination at 25000 records; a higher value returns a pagination_limit_reached error."
      },
      "sort": {
        "type": "string",
        "pattern": "^ *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?(?: *, *[A-Za-z0-9_]+(?:\\.[A-Za-z0-9_]+)*(?::[^,:]*)?)* *$",
        "minLength": 1,
        "description": "Sort expression — a field path optionally suffixed with :asc or :desc; comma-separate for multi-field sort (e.g. report_date:desc,status.exact:asc). Field paths take only letters, digits, underscores, and dots; anything else is rejected before the request. A well-formed but non-sortable field still causes a query error — use a documented field name."
      },
      "limit": {
        "type": "number",
        "default": 10,
        "maximum": 1000,
        "minimum": 1,
        "description": "Maximum number of records to return (1-1000, default 10). Serialized record size varies by three orders of magnitude across openFDA endpoints, so the page is also bounded by a 24000-byte serialized budget: a page that would overrun it returns fewer records than requested and reports the cut on page_omitted. Whenever any record matched, at least one comes back, however large it measures. Device records are the largest here — a device enforcement or recall record runs several kilobytes where a drug or food enforcement record is around one."
      },
      "stage": {
        "type": "boolean",
        "default": false,
        "description": "Stage the matched set on a DataCanvas for SQL analysis — openfda_dataframe_describe lists the staged columns, openfda_dataframe_query runs the SQL. Default false — the call returns one page for one upstream request. When true, records are also drained onto a canvas table up to a size budget (staged_rows reports how many reached it). Staging is for record-level SQL over a bounded slice; for a distribution over everything that matched, openfda_count_values aggregates server-side in one request. Requires CANVAS_PROVIDER_TYPE=duckdb."
      },
      "search": {
        "type": "string",
        "pattern": "\\S",
        "minLength": 1,
        "description": "openFDA search query. Examples: classification:\"Class I\" (also \"Class II\" or \"Class III\"), recalling_firm:\"pfizer\", reason_for_recall:\"undeclared allergen\". Omit to browse recent. Double quotes, parentheses, and range brackets must balance, and the query must not end on a backslash — each is rejected before the request."
      },
      "category": {
        "enum": [
          "drug",
          "food",
          "device"
        ],
        "type": "string",
        "description": "Product category"
      },
      "endpoint": {
        "enum": [
          "enforcement",
          "recall"
        ],
        "type": "string",
        "default": "enforcement",
        "description": "Report type. Default enforcement. The recall endpoint is only available for devices."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by a prior stage=true call to this tool or another openFDA search tool (openfda_search_* or openfda_lookup_ndc). Passing one stages this search onto that canvas (same effect as stage=true) so result sets accumulate for cross-table joins. Omit to stage onto a fresh canvas."
      }
    },
    "additionalProperties": false
  }

  arguments 63 lines copy

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