_ registry / mcp http-sse · checked 42m ago

hipa-trials

https://hipa.ai

Registry code: 5a652aaa0863dd41

api record

Hipa.ai clinical trials: currently active (recruiting, not yet recruiting, or enrolling by invitation) studies with at least one US site, from ClinicalTrials.gov via AACT, refreshed daily.

Every search is scoped to a US state (two-letter code, e.g. CA) and optionally a city. Typical flow: clinicaltrials_list_conditions to find the condition slug, then clinicaltrials_count_trials or clinicaltrials_search_trials, then clinicaltrials_get_trial for the full record of any trial the user cares about. For a specific patient (age, sex, condition), use clinicaltrials_find_eligible_trials.

endpoint
https://hipa.ai/api/mcp/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 it live, free and safe measured by this hub
Is hipa-trials live?
Yes — it answered the hub's last check (checked 42m ago). It answered 100% of checks over the last 30 days.
Is hipa-trials free to use?
Yes — the hub reached it with no key and no payment.
What tools does hipa-trials have?
8 tools: clinicaltrials_count_trials, clinicaltrials_find_eligible_trials, clinicaltrials_get_trial, clinicaltrials_list_top_conditions, clinicaltrials_list_top_facilities, clinicaltrials_search_trials, clinicaltrials_get_data_freshness, clinicaltrials_list_conditions.
Is hipa-trials 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.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
514ms

last good check

priced tools
0

of 8 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 8 tools
2 open 6 never probed 2 of 8 classified

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.

  • clinicaltrials_get_data_freshness open 42m ago

    Returns the timestamp at which the underlying ClinicalTrials.gov dataset was last refreshed on the server. Use this to disclose the data age to end users or to decide whether to re-query for fresher results.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • clinicaltrials_list_conditions open 42m ago

    List the curated conditions the trial search tools filter on, with the slug to pass as `condition` (clinicaltrials_search_trials, clinicaltrials_count_trials) or in `conditions` (clinicaltrials_find_eligible_trials). Pass `query` to find a condition by name or synonym (e.g. 'lung', 'diabetes', 'NSCLC'). Ordered by how many recruiting US trials study the condition. Specialty entries (e.g. 'oncology') are roll-ups covering many conditions.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Maximum conditions to return. Integer in [1, 250]. Default 50."
    },
    "query": {
      "type": "string",
      "maxLength": 100,
      "description": "Case-insensitive search over condition labels, slugs and synonyms (the raw condition names trial records use). Omit to list the most common conditions."
    }
  }
}
    arguments 18 lines
  • clinicaltrials_count_trials unknown 42m ago

    Return only the count of active US clinical trials matching the same filter set accepted by clinicaltrials_search_trials. Use this when the caller needs a population estimate (e.g. 'how many trials are recruiting in California for type 2 diabetes?') without fetching trial records. Far cheaper than calling search and discarding the results.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "state"
  ],
  "properties": {
    "age": {
      "enum": [
        "child",
        "adult",
        "senior"
      ],
      "type": "string",
      "description": "Age bucket for eligibility matching. 'child' = 0-17 years, 'adult' = 18-64 years, 'senior' = 65+ years. Maps to AACT minimum_age/maximum_age boundaries server-side."
    },
    "sex": {
      "enum": [
        "female",
        "male"
      ],
      "type": "string",
      "description": "Biological sex eligibility filter. Use 'female' or 'male'. Trials open to both sexes are returned regardless of this filter."
    },
    "city": {
      "type": "string",
      "description": "US city name. Allows letters, spaces, hyphens, apostrophes, and periods. Examples: \"San Francisco\", \"St. Louis\", \"O'Fallon\", \"Wilkes-Barre\". Surrounding whitespace is trimmed; maximum 100 characters."
    },
    "phase": {
      "type": "array",
      "items": {
        "enum": [
          "Phase 1",
          "Phase 2",
          "Phase 3",
          "Phase 4",
          "N/A",
          "EARLY_PHASE1",
          "PHASE1",
          "PHASE2",
          "PHASE3",
          "PHASE4",
          "NA"
        ],
        "type": "string",
        "description": "Trial phase. One of: \"Phase 1\", \"Phase 2\", \"Phase 3\", \"Phase 4\", \"N/A\" - or the raw value a trial record reports (\"PHASE1\", \"EARLY_PHASE1\", \"PHASE2\", \"PHASE3\", \"PHASE4\", \"NA\"). Combined-phase trials (e.g. Phase 1/Phase 2) surface under each component bucket, so a Phase 1 filter also matches a Phase 1/Phase 2 study."
      },
      "maxItems": 10
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code (e.g. CA, NY, TX, FL). Case-insensitive on input; normalized to uppercase. DC is accepted. Full state names like 'California' are not accepted - use 'CA' instead."
    },
    "status": {
      "type": "array",
      "items": {
        "enum": [
          "RECRUITING",
          "NOT_YET_RECRUITING",
          "ENROLLING_BY_INVITATION"
        ],
        "type": "string",
        "description": "Recruitment status. One of: \"RECRUITING\", \"NOT_YET_RECRUITING\", \"ENROLLING_BY_INVITATION\". The MCP server only exposes the three active statuses - completed, terminated, withdrawn, etc. are not searchable."
      },
      "maxItems": 3
    },
    "facility": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Exact facility name match. Scopes results to trials running at this named site."
    },
    "condition": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1,
      "description": "Condition to filter by: a curated slug ('breast-cancer'), its label ('Breast Cancer') or a condition name as it appears in trial records ('Breast Neoplasms'). Case-insensitive. Call clinicaltrials_list_conditions to see the valid values; an unrecognized condition is rejected with suggestions, never ignored."
    },
    "studyType": {
      "type": "array",
      "items": {
        "enum": [
          "INTERVENTIONAL",
          "OBSERVATIONAL",
          "EXPANDED_ACCESS"
        ],
        "type": "string",
        "description": "Trial study type from ClinicalTrials.gov. One of: \"INTERVENTIONAL\", \"OBSERVATIONAL\", \"EXPANDED_ACCESS\". Values match AACT's canonical enum exactly (uppercase)."
      },
      "maxItems": 3
    },
    "interventionType": {
      "type": "array",
      "items": {
        "enum": [
          "DRUG",
          "DEVICE",
          "BEHAVIORAL",
          "PROCEDURE",
          "BIOLOGICAL",
          "DIAGNOSTIC_TEST",
          "DIETARY_SUPPLEMENT",
          "RADIATION",
          "COMBINATION_PRODUCT",
          "GENETIC",
          "OTHER"
        ],
        "type": "string",
        "description": "Intervention type. One of: \"DRUG\", \"DEVICE\", \"BEHAVIORAL\", \"PROCEDURE\", \"BIOLOGICAL\", \"DIAGNOSTIC_TEST\", \"DIETARY_SUPPLEMENT\", \"RADIATION\", \"COMBINATION_PRODUCT\", \"GENETIC\", \"OTHER\". Values match AACT's canonical enum exactly (uppercase)."
      },
      "maxItems": 11
    },
    "healthyVolunteersOnly": {
      "type": "boolean"
    }
  }
}
    arguments 117 lines
  • clinicaltrials_find_eligible_trials unknown never probed

    Match patient demographics (age, sex, conditions, location) to currently recruiting US clinical trials. Conditions are curated slugs, labels or trial-record condition names (discover them via clinicaltrials_list_conditions). Maps ageYears to the AACT eligibility bucket (child 0-17, adult 18-64, senior 65+). Returns up to 50 trials per page with an opaque cursor for further pagination. State scope is required; city is optional for facility-level narrowing.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "ageYears",
    "conditions",
    "state"
  ],
  "properties": {
    "sex": {
      "enum": [
        "female",
        "male"
      ],
      "type": "string",
      "description": "Biological sex eligibility filter. Use 'female' or 'male'. Trials open to both sexes are returned regardless of this filter."
    },
    "city": {
      "type": "string",
      "description": "US city name. Allows letters, spaces, hyphens, apostrophes, and periods. Examples: \"San Francisco\", \"St. Louis\", \"O'Fallon\", \"Wilkes-Barre\". Surrounding whitespace is trimmed; maximum 100 characters."
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code (e.g. CA, NY, TX, FL). Case-insensitive on input; normalized to uppercase. DC is accepted. Full state names like 'California' are not accepted - use 'CA' instead."
    },
    "cursor": {
      "type": "string",
      "minLength": 1,
      "description": "Opaque pagination cursor returned by a previous call's nextCursor field. Omit to start from the beginning of the result set. Cursors are tied to the exact filter set used to issue them - reusing a cursor with different filters returns an invalid_cursor error."
    },
    "ageYears": {
      "type": "integer",
      "maximum": 120,
      "minimum": 0,
      "description": "Patient age in years. Integer in [0, 120]. Maps to the AACT eligibility bucket: 0-17 child, 18-64 adult, 65+ senior."
    },
    "pageSize": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of results per page. Integer in [1, 50]. Default 20."
    },
    "conditions": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 120,
        "minLength": 1,
        "description": "Condition slug ('breast-cancer'), label ('Breast Cancer') or trial-record condition name ('Breast Neoplasms'). Case-insensitive. Discover valid values via clinicaltrials_list_conditions."
      },
      "minItems": 1,
      "description": "One or more conditions. Unrecognized values are rejected as invalid_input with suggested slugs."
    }
  }
}
    arguments 56 lines
  • clinicaltrials_get_trial unknown never probed

    Fetch the full clinical trial record by NCT ID. Returns title, status, sponsor, summary, conditions, interventions, arms, design, eligibility (age, sex, healthy volunteers and the full inclusion/exclusion criteria text), primary outcomes, central contacts, every US site location with its contacts, and links to the trial's Hipa.ai page and ClinicalTrials.gov record. Use this after clinicaltrials_search_trials surfaces a candidate NCT id and the caller needs the complete record - the search tool only returns a paginated summary.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "nctId"
  ],
  "properties": {
    "nctId": {
      "type": "string",
      "description": "ClinicalTrials.gov identifier. Canonical form: 'NCT' followed by exactly 8 digits (e.g. NCT12345678). Case-insensitive on input; normalized to uppercase. Surrounding whitespace is trimmed."
    }
  }
}
    arguments 13 lines
  • clinicaltrials_list_top_conditions unknown never probed

    List the most common conditions across active US clinical trials in a US state or city, with trial counts. Use this when the caller wants to see what is well-represented in a region before searching. Each entry carries the curated `slug` to pass to clinicaltrials_search_trials as `condition` (null when the label has no curated match - use clinicaltrials_list_conditions to find a close one). Counts come from AACT condition aggregations and refresh daily.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "state"
  ],
  "properties": {
    "city": {
      "type": "string",
      "description": "US city name. Allows letters, spaces, hyphens, apostrophes, and periods. Examples: \"San Francisco\", \"St. Louis\", \"O'Fallon\", \"Wilkes-Barre\". Surrounding whitespace is trimmed; maximum 100 characters."
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 25,
      "minimum": 1,
      "description": "Maximum number of buckets to return from a top-N aggregation. Integer in [1, 25]. Default 10. Aggregator returns buckets sorted by descending count."
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code (e.g. CA, NY, TX, FL). Case-insensitive on input; normalized to uppercase. DC is accepted. Full state names like 'California' are not accepted - use 'CA' instead."
    }
  }
}
    arguments 24 lines
  • clinicaltrials_list_top_facilities unknown never probed

    List named research facilities running active US clinical trials in a city, ranked by trial count. Returns each facility's name, ZIP, the top conditions they study, and one example NCT ID for quick verification. Use this when the caller asks where studies are happening in a specific city, or wants to surface named local clinics for a downstream clinicaltrials_search_trials call with the facility filter.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "state",
    "city"
  ],
  "properties": {
    "city": {
      "type": "string",
      "description": "US city name. Allows letters, spaces, hyphens, apostrophes, and periods. Examples: \"San Francisco\", \"St. Louis\", \"O'Fallon\", \"Wilkes-Barre\". Surrounding whitespace is trimmed; maximum 100 characters."
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 25,
      "minimum": 1,
      "description": "Maximum number of buckets to return from a top-N aggregation. Integer in [1, 25]. Default 10. Aggregator returns buckets sorted by descending count."
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code (e.g. CA, NY, TX, FL). Case-insensitive on input; normalized to uppercase. DC is accepted. Full state names like 'California' are not accepted - use 'CA' instead."
    }
  }
}
    arguments 25 lines
  • clinicaltrials_search_trials unknown never probed

    Search active US clinical trials by location, condition slug, phase, study type, intervention type, recruitment status, sex eligibility, age bucket, healthy-volunteer flag, and facility name. Returns up to 50 trials per page with an opaque cursor for further pagination. Cursors are tied to the exact filter set used to issue them - reusing a cursor with a different filter set returns invalid_cursor. Use state-only scope first when exploring a region, then narrow to city for facility-level detail.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "state"
  ],
  "properties": {
    "age": {
      "enum": [
        "child",
        "adult",
        "senior"
      ],
      "type": "string",
      "description": "Age bucket for eligibility matching. 'child' = 0-17 years, 'adult' = 18-64 years, 'senior' = 65+ years. Maps to AACT minimum_age/maximum_age boundaries server-side."
    },
    "sex": {
      "enum": [
        "female",
        "male"
      ],
      "type": "string",
      "description": "Biological sex eligibility filter. Use 'female' or 'male'. Trials open to both sexes are returned regardless of this filter."
    },
    "city": {
      "type": "string",
      "description": "US city name. Allows letters, spaces, hyphens, apostrophes, and periods. Examples: \"San Francisco\", \"St. Louis\", \"O'Fallon\", \"Wilkes-Barre\". Surrounding whitespace is trimmed; maximum 100 characters."
    },
    "phase": {
      "type": "array",
      "items": {
        "enum": [
          "Phase 1",
          "Phase 2",
          "Phase 3",
          "Phase 4",
          "N/A",
          "EARLY_PHASE1",
          "PHASE1",
          "PHASE2",
          "PHASE3",
          "PHASE4",
          "NA"
        ],
        "type": "string",
        "description": "Trial phase. One of: \"Phase 1\", \"Phase 2\", \"Phase 3\", \"Phase 4\", \"N/A\" - or the raw value a trial record reports (\"PHASE1\", \"EARLY_PHASE1\", \"PHASE2\", \"PHASE3\", \"PHASE4\", \"NA\"). Combined-phase trials (e.g. Phase 1/Phase 2) surface under each component bucket, so a Phase 1 filter also matches a Phase 1/Phase 2 study."
      },
      "maxItems": 10
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code (e.g. CA, NY, TX, FL). Case-insensitive on input; normalized to uppercase. DC is accepted. Full state names like 'California' are not accepted - use 'CA' instead."
    },
    "cursor": {
      "type": "string",
      "minLength": 1,
      "description": "Opaque pagination cursor returned by a previous call's nextCursor field. Omit to start from the beginning of the result set. Cursors are tied to the exact filter set used to issue them - reusing a cursor with different filters returns an invalid_cursor error."
    },
    "status": {
      "type": "array",
      "items": {
        "enum": [
          "RECRUITING",
          "NOT_YET_RECRUITING",
          "ENROLLING_BY_INVITATION"
        ],
        "type": "string",
        "description": "Recruitment status. One of: \"RECRUITING\", \"NOT_YET_RECRUITING\", \"ENROLLING_BY_INVITATION\". The MCP server only exposes the three active statuses - completed, terminated, withdrawn, etc. are not searchable."
      },
      "maxItems": 3
    },
    "facility": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Exact facility name match. Scopes results to trials running at this named site."
    },
    "pageSize": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of results per page. Integer in [1, 50]. Default 20."
    },
    "condition": {
      "type": "string",
      "maxLength": 120,
      "minLength": 1,
      "description": "Condition to filter by: a curated slug ('breast-cancer'), its label ('Breast Cancer') or a condition name as it appears in trial records ('Breast Neoplasms'). Case-insensitive. Call clinicaltrials_list_conditions to see the valid values; an unrecognized condition is rejected with suggestions, never ignored."
    },
    "studyType": {
      "type": "array",
      "items": {
        "enum": [
          "INTERVENTIONAL",
          "OBSERVATIONAL",
          "EXPANDED_ACCESS"
        ],
        "type": "string",
        "description": "Trial study type from ClinicalTrials.gov. One of: \"INTERVENTIONAL\", \"OBSERVATIONAL\", \"EXPANDED_ACCESS\". Values match AACT's canonical enum exactly (uppercase)."
      },
      "maxItems": 3
    },
    "interventionType": {
      "type": "array",
      "items": {
        "enum": [
          "DRUG",
          "DEVICE",
          "BEHAVIORAL",
          "PROCEDURE",
          "BIOLOGICAL",
          "DIAGNOSTIC_TEST",
          "DIETARY_SUPPLEMENT",
          "RADIATION",
          "COMBINATION_PRODUCT",
          "GENETIC",
          "OTHER"
        ],
        "type": "string",
        "description": "Intervention type. One of: \"DRUG\", \"DEVICE\", \"BEHAVIORAL\", \"PROCEDURE\", \"BIOLOGICAL\", \"DIAGNOSTIC_TEST\", \"DIETARY_SUPPLEMENT\", \"RADIATION\", \"COMBINATION_PRODUCT\", \"GENETIC\", \"OTHER\". Values match AACT's canonical enum exactly (uppercase)."
      },
      "maxItems": 11
    },
    "healthyVolunteersOnly": {
      "type": "boolean"
    }
  }
}
    arguments 129 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 5a652aaa0863dd41.

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_ for your README measured, not declared

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_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
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work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
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reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.