_ registry / mcp streamable-http · checked 1h ago

VICP Registry

https://vicp-registry.org

Registry code: 1178397d5a7a2fbb

api record

VICP Registry — U.S. Vaccine Injury Compensation Program case database.

This server queries the same live SQLite database that powers

endpoint
https://vicp-registry.org/mcp
protocol
streamable-http ·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 VICP Registry live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is VICP Registry free to use?
Yes — the hub reached it with no key and no payment.
What tools does VICP Registry have?
10 tools: search, search_attorneys, fetch, get_special_master, get_attorney, get_case_text, search_cases, get_case, ….
Is VICP Registry 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
99.8%

90 days 99.8%· all time 99.8%

latency
151ms

last good check

priced tools
0

of 10 tools

_ answered our checks, 90 days 563 checks · signed record
  • degraded → live
  • live → degraded· HTTP 522
  • degraded → live
  • unknown → live
_ what it is for
topic
government & legal legal
used for
  • search vaccine injury compensation cases
  • get case outcome statistics by vaccine
  • look up an attorney's case record
  • read case court documents
takes → gives
text → data, text
tools
10 reads
_ 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 10 tools
4 open 6 never probed 4 of 10 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.

  • search_cases reads open 12h ago

    Search VICP cases with structured filters. - query: free text matched against petitioner identifier, condition, package id, caption name and the AI case summary. - vaccine: canonical vaccine name (use get_filters() for valid values, e.g. "Influenza (flu)", "DTaP/DPT", "MMR", "COVID-19", "Hepatitis B"). - condition_category / outcome: exact values from get_filters(). - decision_type: how the case was decided (stipulation, proffer, reasoned, reasoned_damages, procedural, unclear). - pediatric_only uses the broad pediatric cohort definition (is_minor OR is_minor_inferred OR age<18) — strict age-only filtering undercounts pediatric cases substantially. - dates are ISO strings (YYYY-MM-DD); awards are USD integers. - sort: decision_date_desc|decision_date_asc|filed_asc|filed_desc|award_desc|award_asc - Returns total match count plus one page of compact case records with canonical URLs. Use get_case(package_id) for the full record.

    mcp-tool

    {
  "type": "object",
  "title": "search_casesArguments",
  "properties": {
    "sort": {
      "type": "string",
      "title": "Sort",
      "default": "decision_date_desc"
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Query",
      "default": null
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "outcome": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Outcome",
      "default": null
    },
    "vaccine": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Vaccine",
      "default": null
    },
    "attorney": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Attorney",
      "default": null
    },
    "filed_to": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Filed To",
      "default": null
    },
    "is_death": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "title": "Is Death",
      "default": null
    },
    "max_award": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Max Award",
      "default": null
    },
    "min_award": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Min Award",
      "default": null
    },
    "decided_to": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decided To",
      "default": null
    },
    "filed_from": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Filed From",
      "default": null
    },
    "decided_from": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decided From",
      "default": null
    },
    "decision_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decision Type",
      "default": null
    },
    "autism_related": {
      "type": "boolean",
      "title": "Autism Related",
      "default": false
    },
    "pediatric_only": {
      "type": "boolean",
      "title": "Pediatric Only",
      "default": false
    },
    "special_master": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Special Master",
      "default": null
    },
    "condition_category": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Condition Category",
      "default": null
    }
  }
}
    arguments 199 lines
  • get_case reads open 15h ago

    Get the complete curated record for one case by package_id. Includes the AI-assisted case summary, all extracted fields, attorney and special master, plus links: canonical page, plain-text source bundle, and per-document PDF links where available.

    mcp-tool

    {
  "type": "object",
  "title": "get_caseArguments",
  "required": [
    "package_id"
  ],
  "properties": {
    "package_id": {
      "type": "string",
      "title": "Package Id"
    }
  }
}
    arguments 13 lines
  • get_statistics reads open 12h ago

    Aggregate statistics over the case corpus, optionally filtered. group_by: vaccine | condition | outcome | year | special_master Returns per-group: total cases, compensated count, compensation rate, death count, and median award among compensated cases (awards over $10M excluded from the median due to a known unit-extraction bug). IMPORTANT framing: these describe the VICP case-record dataset, not vaccine-safety rates in the general population.

    mcp-tool

    {
  "type": "object",
  "title": "get_statisticsArguments",
  "properties": {
    "vaccine": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Vaccine",
      "default": null
    },
    "group_by": {
      "type": "string",
      "title": "Group By",
      "default": "vaccine"
    },
    "is_death": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "title": "Is Death",
      "default": null
    },
    "pediatric_only": {
      "type": "boolean",
      "title": "Pediatric Only",
      "default": false
    },
    "condition_category": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Condition Category",
      "default": null
    }
  }
}
    arguments 52 lines
  • get_filters reads open 12h ago

    List all valid filter values: canonical vaccine names (with case counts), condition categories, outcomes, special masters, and the dataset's date range. Call this before filtering so you use real values instead of guessing.

    mcp-tool

    {
  "type": "object",
  "title": "get_filtersArguments",
  "properties": {}
}
    arguments 5 lines
  • search reads unknown 10h ago

    Search VICP vaccine-injury cases by free text. Returns result ids for use with fetch. (Alias of search_cases for deep-research clients; prefer search_cases when structured filters are available.)

    mcp-tool

    {
  "type": "object",
  "title": "searchArguments",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 13 lines
  • search_attorneys reads unknown 5h ago

    Search petitioner attorneys and firms by name. Returns per-attorney aggregate stats: case count, compensation rate, main vaccines, and firm. Useful for 'who has handled X cases' questions.

    mcp-tool

    {
  "type": "object",
  "title": "search_attorneysArguments",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 18 lines
  • fetch reads unknown 5h ago

    Fetch the full record + source text of one case by its id (package_id). (Deep-research companion to search.)

    mcp-tool

    {
  "type": "object",
  "title": "fetchArguments",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "title": "Id"
    }
  }
}
    arguments 13 lines
  • get_special_master reads unknown 15h ago

    Decision patterns for one special master: outcome breakdown, top vaccines/conditions in their docket, and recent cases.

    mcp-tool

    {
  "type": "object",
  "title": "get_special_masterArguments",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "title": "Name"
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    }
  }
}
    arguments 18 lines
  • get_attorney reads unknown 5h ago

    Get one attorney's profile: bio (when available), aggregate outcomes, and their most recent cases. Name is matched case-insensitively.

    mcp-tool

    {
  "type": "object",
  "title": "get_attorneyArguments",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "title": "Name"
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 30
    }
  }
}
    arguments 18 lines
  • get_case_text reads unknown 15h ago

    Get the staged plain text of a case's public court documents. Long decisions can exceed 100 pages; the text is returned in chunks. Use offset_chars from the previous response's next_offset to page through. max_chars is capped at 50,000.

    mcp-tool

    {
  "type": "object",
  "title": "get_case_textArguments",
  "required": [
    "package_id"
  ],
  "properties": {
    "max_chars": {
      "type": "integer",
      "title": "Max Chars",
      "default": 25000
    },
    "package_id": {
      "type": "string",
      "title": "Package Id"
    },
    "offset_chars": {
      "type": "integer",
      "title": "Offset Chars",
      "default": 0
    }
  }
}
    arguments 23 lines
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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

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_ 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
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median latency
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work
attempts
0
accepted
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rejected
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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.