MCP server · Habu

habu-mcp.yml

Habu itself ships no MCP server: api.habu.com/mcp returns 404 and there is no Habu-branded MCP endpoint. Two MCP endpoints exist on the acquirer's infrastructure and both cover the Clean Room API documentation, but both refuse anonymous tools/list, so no real tool schemas could be captured. The candidate tool surface below is DERIVED from the OpenAPI, not from any server.

View descriptor → Habu provider profile

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⚠ Proposed MCP surface. No official hosted MCP server was found for Habu. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Habu publishes an official server, this page will update to it on the next build.

Provider: Habu Type: Candidate descriptor Transport: Host: raw.githubusercontent.com

Descriptor

https://raw.githubusercontent.com/api-evangelist/habu/refs/heads/main/mcp/habu-mcp.yml

Candidate descriptor · transport

Tools

list_cleanrooms — Fetch all clean rooms available to the organization.
get_cleanroom — Fetch one clean room by ID.
create_cleanroom — Create a new clean room.
list_data_connections — Fetch all data connections for the organization.
create_data_connection — Create a new data connection from a data source.
map_field_configurations — Map field configurations (including identifier types) on a data connection.
list_cleanroom_questions — List questions attached to a clean room.
create_cleanroom_question_run — Start a question run. RATE LIMITED: 20 per hour per user/org/IP.
get_cleanroom_question_run — Poll the status of a question run by ID. Capped at 20 checks per hour.
get_cleanroom_question_run_data — Fetch the result data of a completed question run.
create_cleanroom_flow_run — Start a clean room flow run. RATE LIMITED: 20 per hour per user/org/IP.
get_cleanroom_flow_run_status — Poll the status of a flow run.
health — Unauthenticated connectivity check against https://api.habu.com/v1/health.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

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