oecd-mcp-server

endpoint

https://oecd.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 oecd-mcp-server live?

Yes — it answered the hub's last check (checked 6h ago). It answered 100% of checks over the last 30 days.

Is oecd-mcp-server free to use?

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

What tools does oecd-mcp-server have?

7 tools: oecd_get_dimension_values, oecd_search_datasets, oecd_get_dataset_info, oecd_query_dataset, oecd_dataframe_describe, oecd_dataframe_query, oecd_list_agencies.

Is oecd-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.

• oecd_list_agencies reads open 21h ago

  List OECD SDMX agencies, the directorate each belongs to, and the number of dataflows each publishes. Use to discover agency IDs before filtering oecd_search_datasets by department.

  mcp-tool

  123456

  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {},
    "additionalProperties": false
  }

  arguments 6 lines copy
• oecd_get_dimension_values reads unknown 21h ago

  Fetch the valid codes and labels for one dimension of a dataflow. Use to resolve human-readable names (countries, measures) to SDMX codes before querying with oecd_query_dataset. Pass query to match a code or label by substring — codelists run to a thousand-plus entries, and the response is a page of at most limit codes either way.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "flow_ref",
      "dimension_id"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 50,
        "maximum": 500,
        "minimum": 1,
        "description": "Maximum codes to return (1–500, default 50)."
      },
      "query": {
        "type": "string",
        "description": "Case-insensitive substring matched against both the code and its label, so \"PA\" and \"percent\" each reach the code \"PA\" / \"Percent per annum\". Omit to page the whole codelist."
      },
      "offset": {
        "type": "integer",
        "default": 0,
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Zero-based index of the first code to return within the matching list, applied before limit. Advance it to page; an offset past the last match returns an empty page."
      },
      "flow_ref": {
        "type": "string",
        "description": "Full flow reference — e.g. \"OECD.SDD.NAD,DSD_NAAG@DF_NAAG_I\", or the bare \"OECD.TAD.ARP,DF_AEI2024_DASHBOARD\" form for a dataflow published without a datastructure prefix. Obtain from oecd_search_datasets."
      },
      "dimension_id": {
        "type": "string",
        "description": "Dimension identifier to fetch codes for — e.g. \"REF_AREA\" or \"MEASURE\". Obtain valid dimension IDs from oecd_get_dataset_info."
      }
    },
    "additionalProperties": false
  }

  arguments 37 lines copy
• oecd_search_datasets reads unknown never probed

  Search OECD dataflows by keyword or theme, matching against dataflow names and descriptions. Returns flow_ref identifiers, names, and agency IDs for use with oecd_get_dataset_info.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 20,
        "maximum": 100,
        "minimum": 1,
        "description": "Maximum number of results to return (1–100, default 20)."
      },
      "query": {
        "type": "string",
        "description": "Keyword or phrase to search for in dataflow names and descriptions — e.g. \"GDP\", \"employment\", \"education\". Every whitespace-separated token must appear somewhere in the name or description."
      },
      "offset": {
        "type": "integer",
        "default": 0,
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Zero-based index of the first match to return, applied before limit. Page through results past the limit by advancing it; an offset at or past total_matches returns an empty list."
      },
      "agency_id": {
        "type": "string",
        "description": "Optional agency identifier to restrict the search scope — e.g. \"OECD.SDD.NAD\". Obtain valid agency IDs from oecd_list_agencies."
      }
    },
    "additionalProperties": false
  }

  arguments 32 lines copy
• oecd_get_dataset_info reads unknown never probed

  Fetch a dataflow's dimensions, their order, and how to construct a query key. Returns per-dimension names, codelist references, and position in the dot-delimited key. Required before calling oecd_query_dataset to understand key structure.

  mcp-tool

  1234567891011121314

  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "flow_ref"
    ],
    "properties": {
      "flow_ref": {
        "type": "string",
        "description": "Full flow reference, either {agencyID},{dsd_id}@{df_id} — e.g. \"OECD.SDD.NAD,DSD_NAAG@DF_NAAG_I\" — or the bare {agencyID},{df_id} form OECD uses for the few dataflows published without a datastructure prefix. Obtain from oecd_search_datasets."
      }
    },
    "additionalProperties": false
  }

  arguments 14 lines copy
• oecd_query_dataset reads unknown never probed

  Fetch observations from an OECD dataflow filtered by a dimension key and optional time range. Returns decoded rows (one per observation) with dimension and attribute labels, and values already scaled by the observation unit multiplier. Large multi-country time-series spill to a DataCanvas table — follow up with oecd_dataframe_query; without DataCanvas every row still comes back, but the rendered table stops at a preview slice. Call oecd_get_dataset_info first to learn the dimension order for constructing the key.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "flow_ref",
      "key"
    ],
    "properties": {
      "key": {
        "type": "string",
        "description": "Dot-delimited dimension key matching the dimension order from oecd_get_dataset_info. Empty segments are wildcards; \"+\" separates multiple values per segment. Example: \"A.USA+DEU.B1GQ..\" — Annual, USA or Germany, GDP, all remaining dimensions."
      },
      "flow_ref": {
        "type": "string",
        "description": "Full flow reference — e.g. \"OECD.SDD.NAD,DSD_NAAG@DF_NAAG_I\", or the bare \"OECD.TAD.ARP,DF_AEI2024_DASHBOARD\" form for a dataflow published without a datastructure prefix. Obtain from oecd_search_datasets and pass it through unchanged."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID from a prior oecd_query_dataset call — exactly 10 characters of letters, digits, hyphens, and underscores — to stage this result alongside that one. Omit to let the server mint a canvas if this result needs one; a canvas_id comes back only when the result was large enough to spill, never on a result that fits inline."
      },
      "end_period": {
        "type": "string",
        "description": "End of the time range — ISO period code such as \"2023\" or \"2023-Q4\". Omit to include up to the latest available period."
      },
      "start_period": {
        "type": "string",
        "description": "Start of the time range — ISO period code such as \"2010\", \"2010-Q1\", or \"2010-01\". Omit to include all history (may produce very large results)."
      }
    },
    "additionalProperties": false
  }

  arguments 32 lines copy
• oecd_dataframe_describe reads unknown 21h ago

  List tables and columns staged on a DataCanvas by a prior oecd_query_dataset spill. Call this before oecd_dataframe_query to discover exact table and column names for SQL. Only available when CANVAS_PROVIDER_TYPE=duckdb is set.

  mcp-tool

  123456789101112131415

  {
    "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 returned by oecd_query_dataset — exactly 10 characters of letters, digits, hyphens, and underscores. Identifies the DataCanvas session holding the staged observation tables."
      }
    },
    "additionalProperties": false
  }

  arguments 15 lines copy
• oecd_dataframe_query reads unknown 16h ago

  Run a read-only SQL SELECT against OECD observation tables staged on a DataCanvas by oecd_query_dataset. Call oecd_dataframe_describe first to discover exact table and column names, then use this tool for aggregation, filtering, GROUP BY, JOIN, and window functions. Only available when CANVAS_PROVIDER_TYPE=duckdb is set.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "canvas_id",
      "sql"
    ],
    "properties": {
      "sql": {
        "type": "string",
        "description": "Read-only SELECT statement. Reference tables by the names returned by oecd_dataframe_describe. Only SELECT statements are allowed — DDL, DML, and file-reading functions are rejected."
      },
      "canvas_id": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{10}$",
        "description": "Canvas ID returned by oecd_query_dataset — exactly 10 characters of letters, digits, hyphens, and underscores. Identifies the DataCanvas session holding the observation tables."
      }
    },
    "additionalProperties": false
  }

  arguments 20 lines copy

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