_ registry / mcp streamable-http · checked 53m ago

ct-injury-cases

https://ctinjurycases.com

Registry code: 6bee5f955f7210aa

api record

Personal injury litigation data for motor vehicle cases in Connecticut Superior Court, Hartford Judicial District: case outcomes, jury verdicts, settlement offers, motion rulings, and profiles of judges, law firms, attorneys and medical experts. Call describe_dataset first; it lists every metric, filter and caveat. Derived from public Connecticut court records. For the official record of a specific case, see the court's civil inquiry site; each case result links to it as officialUrl.

endpoint
https://ctinjurycases.com/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 ct-injury-cases live?
Yes — it answered the hub's last check (checked 53m ago). It answered 100% of checks over the last 30 days.
Is ct-injury-cases free to use?
Yes — the hub reached it with no key and no payment.
What tools does ct-injury-cases have?
14 tools: describe_dataset, search_providers, get_provider, send_message, request_data, get_judge, get_case, stats, ….
Is ct-injury-cases 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
559ms

last good check

priced tools
0

of 14 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 14 tools
3 open 11 never probed 3 of 14 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_attorneys open 53m ago

    List attorneys by name, firm, side and district, most cases first. get_attorney gives one attorney in full.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "name": {
      "type": "string",
      "description": "Part of the name, any case."
    },
    "side": {
      "enum": [
        "plaintiff",
        "defense"
      ],
      "type": "string",
      "description": "Only those with cases for this side, ranked by their cases on that side rather than by all their cases."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Results per page, at most 50 (the default)."
    },
    "cursor": {
      "type": "string",
      "pattern": "^\\d+$",
      "description": "nextCursor from the previous page; omit for the first page."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "district": {
      "type": "string",
      "description": "Judicial district, e.g. HARTFORD JD."
    },
    "firm_juris_number": {
      "type": "string",
      "description": "Juris number of their firm."
    }
  }
}
    arguments 42 lines
  • search_cases open 53m ago

    List auto-injury cases matching filters, in docket-number order, up to 50 per page. Use get_case for one case in full and stats for counts, rates and amounts across many.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Results per page, at most 50 (the default)."
    },
    "cursor": {
      "type": "string",
      "pattern": "^\\d+$",
      "description": "nextCursor from the previous page; omit for the first page."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "district": {
      "type": "string",
      "description": "Judicial district, e.g. HARTFORD JD."
    },
    "filed_to": {
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      "description": "Filed on or before this date (YYYY-MM-DD)."
    },
    "case_type": {
      "type": "string",
      "description": "Case type code: V01, V04 or V09."
    },
    "judge_key": {
      "type": "string",
      "description": "Judge key from search_judges; matches the judge who decided the disposition."
    },
    "filed_from": {
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      "description": "Filed on or after this date (YYYY-MM-DD)."
    },
    "trial_kind": {
      "type": "string",
      "description": "jury, court or not_tried."
    },
    "litigation_type": {
      "type": "string",
      "description": "third_party, um_uim or subrogation."
    },
    "firm_juris_number": {
      "type": "string",
      "description": "Juris number from search_firms; matches either side's lead firm."
    },
    "disposition_category": {
      "type": "string",
      "description": "How the case ended, e.g. withdrawal or plaintiff_verdict; pending for open cases."
    }
  }
}
    arguments 62 lines
  • search_firms open 53m ago

    List law firms by name, side, district and size, most cases first. get_firm gives one firm in full.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "name": {
      "type": "string",
      "description": "Part of the name, any case."
    },
    "side": {
      "enum": [
        "plaintiff",
        "defense"
      ],
      "type": "string",
      "description": "Only those with cases for this side, ranked by their cases on that side rather than by all their cases."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Results per page, at most 50 (the default)."
    },
    "cursor": {
      "type": "string",
      "pattern": "^\\d+$",
      "description": "nextCursor from the previous page; omit for the first page."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "district": {
      "type": "string",
      "description": "Judicial district, e.g. HARTFORD JD."
    },
    "min_cases": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 1,
      "description": "At least this many cases; with side, cases on that side."
    }
  }
}
    arguments 44 lines
  • describe_dataset unknown never probed

    Start here. What the dataset covers (Connecticut Superior Court motor vehicle personal injury cases, Hartford Judicial District) and how current it is, every field, every stats metric and dimension, caveats, and example calls for each tool.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    }
  }
}
    arguments 11 lines
  • search_providers unknown never probed

    List medical providers named in expert disclosures, by type, specialty, side (treating or defense examiner), town and size, most cases first. get_provider gives one provider in full.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "name": {
      "type": "string",
      "description": "Part of the name, any case."
    },
    "side": {
      "enum": [
        "treating",
        "defense_examiner"
      ],
      "type": "string",
      "description": "treating: named as the plaintiff's treating provider; defense_examiner: retained by the defense to examine the plaintiff."
    },
    "town": {
      "type": "string",
      "description": "Town the provider practises in."
    },
    "type": {
      "type": "string",
      "description": "physician, therapy, imaging or facility."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Results per page, at most 50 (the default)."
    },
    "cursor": {
      "type": "string",
      "pattern": "^\\d+$",
      "description": "nextCursor from the previous page; omit for the first page."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "min_cases": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 1,
      "description": "At least this many cases."
    },
    "specialty": {
      "type": "string",
      "description": "Part of the specialty, e.g. orthop."
    }
  }
}
    arguments 52 lines
  • get_provider unknown never probed

    One medical provider: the law firms that named them, their case list, how those cases ended, and, for defense examiners, the kinds of findings they disputed and on which body regions (counts only).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "provider_id"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "provider_id": {
      "type": "string",
      "description": "Provider id from search_providers."
    }
  }
}
    arguments 18 lines
  • send_message unknown never probed

    Send a message to the person who runs this service: feedback, a question, a problem with the data, or interest in paid features, broader coverage or higher limits. Include the user's name or email only with their explicit permission.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "message"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "The user's name, if they agreed."
    },
    "email": {
      "type": "string",
      "format": "email",
      "pattern": "^(?!\\.)(?!.*\\.\\.)([A-Za-z0-9_'+\\-\\.]*)[A-Za-z0-9_+-]@([A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$",
      "description": "The user's email, if they agreed and want a reply."
    },
    "message": {
      "type": "string",
      "maxLength": 4000,
      "minLength": 3,
      "description": "The message."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    }
  }
}
    arguments 32 lines
  • request_data unknown never probed

    Tell us about data this dataset does not have but you need: other courts or states, case types, fields, documents. Logged and read by the people who build the dataset.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "description"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "description": {
      "type": "string",
      "maxLength": 2000,
      "minLength": 10,
      "description": "What data you need and what you would use it for."
    }
  }
}
    arguments 20 lines
  • get_judge unknown never probed

    One judge: how the cases they decided ended (closures in the last ~11 months), motion grant rates by motion family, and trial and verdict figures.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "judge_key"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "judge_key": {
      "type": "string",
      "description": "Judge key from search_judges."
    }
  }
}
    arguments 18 lines
  • get_case unknown never probed

    One case: dates, disposition, trial, verdict and offer amounts, its motion rulings, and the judges, attorneys and law firms by side.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "docket_number"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "docket_number": {
      "type": "string",
      "description": "Docket number, e.g. HHD-CV-21-6140000-S."
    }
  }
}
    arguments 18 lines
  • stats unknown never probed

    Compute one metric over cases (or motion rulings), optionally broken down by up to two dimensions and narrowed by filters. describe_dataset lists every metric and dimension and which unit each applies to. Groups of three or fewer cases are suppressed. At most 100 groups, largest first.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "metric"
  ],
  "properties": {
    "metric": {
      "enum": [
        "case_count",
        "disposition_mix",
        "median_days_to_disposition",
        "trial_rate",
        "plaintiff_verdict_rate",
        "net_verdict",
        "accepted_offer",
        "motion_grant_rate"
      ],
      "type": "string",
      "description": "What to compute; see describe_dataset for each metric."
    },
    "um_uim": {
      "type": "boolean",
      "description": "UM/UIM coverage is claimed."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "district": {
      "type": "string",
      "description": "Judicial district, e.g. HARTFORD JD."
    },
    "filed_to": {
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      "description": "Filed on or before this date (YYYY-MM-DD)."
    },
    "group_by": {
      "type": "array",
      "items": {
        "enum": [
          "district",
          "file_year",
          "case_type",
          "litigation_type",
          "disposition_category",
          "trial_kind",
          "judge_key",
          "plaintiff_firm",
          "defense_firm",
          "motion_family",
          "moving_side",
          "mechanism",
          "plaintiff_role",
          "road_type",
          "commercial_vehicle",
          "um_uim",
          "amount_in_demand",
          "claims_lost_wages",
          "injury_kind",
          "injury_region"
        ],
        "type": "string"
      },
      "maxItems": 2,
      "description": "Up to two dimensions to break the metric down by."
    },
    "case_type": {
      "type": "string",
      "description": "Case type code: V01, V04 or V09."
    },
    "judge_key": {
      "type": "string",
      "description": "Judge key from search_judges; matches the judge who decided the disposition."
    },
    "mechanism": {
      "type": "string",
      "description": "How the crash happened, e.g. rear_end."
    },
    "road_type": {
      "type": "string",
      "description": "Kind of road, e.g. interstate."
    },
    "filed_from": {
      "type": "string",
      "format": "date",
      "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
      "description": "Filed on or after this date (YYYY-MM-DD)."
    },
    "trial_kind": {
      "type": "string",
      "description": "jury, court or not_tried."
    },
    "injury_kind": {
      "type": "string",
      "description": "An alleged injury kind, e.g. fracture."
    },
    "injury_region": {
      "type": "string",
      "description": "An injured body region, e.g. neck."
    },
    "plaintiff_role": {
      "type": "string",
      "description": "driver, passenger, pedestrian…"
    },
    "litigation_type": {
      "type": "string",
      "description": "third_party, um_uim or subrogation."
    },
    "amount_in_demand": {
      "type": "string",
      "description": "Amount-in-demand band, e.g. 15000_or_more."
    },
    "claims_lost_wages": {
      "type": "boolean",
      "description": "Lost wages are claimed."
    },
    "firm_juris_number": {
      "type": "string",
      "description": "Juris number from search_firms; matches either side's lead firm."
    },
    "commercial_vehicle": {
      "type": "boolean",
      "description": "A commercial vehicle was involved."
    },
    "disposition_category": {
      "type": "string",
      "description": "How the case ended, e.g. withdrawal or plaintiff_verdict; pending for open cases."
    }
  }
}
    arguments 134 lines
  • search_judges unknown never probed

    List judges by name and district, with case counts, most cases first. get_judge gives one judge in full.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "name": {
      "type": "string",
      "description": "Part of the name, any case."
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1,
      "description": "Results per page, at most 50 (the default)."
    },
    "cursor": {
      "type": "string",
      "pattern": "^\\d+$",
      "description": "nextCursor from the previous page; omit for the first page."
    },
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "district": {
      "type": "string",
      "description": "Judicial district, e.g. HARTFORD JD."
    }
  }
}
    arguments 30 lines
  • get_attorney unknown never probed

    One attorney: their firms, the firms they most often face, the medical experts named for their side, their motion practice, and how their cases ended. An attorney's figures span every firm the attorney has filed with, not only their current firm.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "juris_number"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "juris_number": {
      "type": "string",
      "description": "Attorney juris number from search_attorneys."
    }
  }
}
    arguments 18 lines
  • get_firm unknown never probed

    One law firm: its attorneys, the firms it most often faces, the medical experts named for its side, its motion practice, and how its cases ended. A firm's case counts (cases, plaintiffCases, defenseCases) cover every case it appeared in. Its other figures (casesByYear, opposing firms, experts, motion practice, outcomes), the stats plaintiff_firm and defense_firm dimensions and the firm_juris_number filter cover only the cases where it is a side's lead firm, so one firm's case total can differ slightly from place to place.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "juris_number"
  ],
  "properties": {
    "purpose": {
      "type": "string",
      "maxLength": 500,
      "description": "One sentence on what you are trying to find out. Logged to improve the dataset; never returned."
    },
    "juris_number": {
      "type": "string",
      "description": "Firm juris number from search_firms."
    }
  }
}
    arguments 18 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 6bee5f955f7210aa.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/6bee5f955f7210aa/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/6bee5f955f7210aa/badge.svg)](https://brick.blue/agent/6bee5f955f7210aa?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ 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
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
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.