ElevenFlo

Search U.S.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Find Cases: Find bankruptcy cases by identity, case-type tag, petition-date range, or disclosed asset threshold. Maximum 50 results; filter-only searches return newest first.
  • List Structured Datasets: List typed structured datasets available to this caller, including grain, freshness, and the canonical tools. Call describe_structured_dataset before an unfamiliar query. Use
  • Describe Structured Dataset: Describe a structured dataset's typed filters, columns, sorts, facets, aggregates, and runnable examples. Call describe_structured_dataset before an unfamiliar query. Use

What data it sees

Do you need an account

No: the server works without sign-in

Search U.S. chapter 11 cases, dockets, and court filings. Read exact filing text, review source-linked case updates, trace related filings, and query published restructuring datasets. Verify findings against the underlying court records. Requires an ElevenFlo account and OAuth consent; tool use consumes MCP credits.

How to connect

How to connect ElevenFlo to Claude

The server address to paste into Claude settings:

https://elevenflo--elevenflo.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect ElevenFlo to ChatGPT

The server address to paste into ChatGPT settings:

https://elevenflo--elevenflo.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect ElevenFlo to Cursor

The server address to paste into Cursor settings:

https://elevenflo--elevenflo.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (19)

Raw names from tools/list. Only developers need these.

find_casesFind bankruptcy cases by identity, case-type tag, petition-date range, or disclosed asset threshold. Maximum 50 results; filter-only searches return newest first.
list_structured_datasetsList typed structured datasets available to this caller, including grain, freshness, and the canonical tools. Call describe_structured_dataset before an unfamiliar query. Use aggregate_structured_data for population questions. Set facets=[...] explicitly when grouped counts are needed. where is a list of typed {field, op, value} predicates using eq, neq, in, nin, gt, gte, lt, lte, between, prefix, contains, or exists as declared by describe. Every dataset uses the universal case_id field; storage-specific identifiers are never query inputs.
describe_structured_datasetDescribe a structured dataset's typed filters, columns, sorts, facets, aggregates, and runnable examples. Call describe_structured_dataset before an unfamiliar query. Use aggregate_structured_data for population questions. Set facets=[...] explicitly when grouped counts are needed. where is a list of typed {field, op, value} predicates using eq, neq, in, nin, gt, gte, lt, lte, between, prefix, contains, or exists as declared by describe. Every dataset uses the universal case_id field; storage-specific identifiers are never query inputs.
search_structured_dataSearch canonical typed rows with declared where, select, sort, facets, page_size, and signed cursor fields. Call describe_structured_dataset before an unfamiliar query. Use aggregate_structured_data for population questions. Set facets=[...] explicitly when grouped counts are needed. where is a list of typed {field, op, value} predicates using eq, neq, in, nin, gt, gte, lt, lte, between, prefix, contains, or exists as declared by describe. Every dataset uses the universal case_id field; storage-specific identifiers are never query inputs.
aggregate_structured_dataRun a policy-bounded population aggregate with declared where, group_by, metrics, and order_by fields. Call describe_structured_dataset before an unfamiliar query. Use aggregate_structured_data for population questions. Set facets=[...] explicitly when grouped counts are needed. where is a list of typed {field, op, value} predicates using eq, neq, in, nin, gt, gte, lt, lte, between, prefix, contains, or exists as declared by describe. Every dataset uses the universal case_id field; storage-specific identifiers are never query inputs.
suggest_structured_valuesSuggest normalized values for a declared suggestable dataset field, optionally narrowed by where predicates. Call describe_structured_dataset before an unfamiliar query. Use aggregate_structured_data for population questions. Set facets=[...] explicitly when grouped counts are needed. where is a list of typed {field, op, value} predicates using eq, neq, in, nin, gt, gte, lt, lte, between, prefix, contains, or exists as declared by describe. Every dataset uses the universal case_id field; storage-specific identifiers are never query inputs.
list_document_typesList canonical filing categories and tags accepted by document tools.
list_docket_entriesList up to 25 docket documents, newest first. For status, request 5 with confirmation_order and effective_date_notice tags; latest terminal notice controls. Stop when answered.
get_document_summaryRead the stored summary for one document.
read_document_chunksRead selected chunks from one document.
extract_document_passagesRead verbatim passages from one document using short keywords, such as 'effective date'. All query terms must match; do not send a full question or a list of topics. Returns at most 10 chunks.
find_case_document_hubsFind the most connected documents in one case's citation graph.
list_document_relationshipsList incoming or outgoing citation relationships for selected documents.
search_filingsSearch filing evidence across all cases or within one case using short keywords. All query terms must match; search distinct issues separately. Maximum 25 results.
search_newsSearch bankruptcy news and source coverage across all cases or within one case.
search_transcriptsSearch hearing and court transcripts across all cases or within one case.
search_document_summariesSearch document summaries within one case.
search_document_chunksFind supporting chunks within selected documents using short keywords. All query terms must match; use returned chunk IDs with read_document_chunks for exact text.
list_case_updatesList typed docket events (filings, hearings, milestones) for specific cases or for the caller's own watches, newest first, each with its citable filings and any published narrative.