MCP server

CrowdListen exposes three tools:

Tool	Purpose
`recall`	Read authorized workspaces, expertise, task status, and evidence
`analyze`	Quote, run, or cancel reviewed expertise; analyze evidence
`ingest`	Save knowledge, sources, observations, and coverage

Set up your client before making requests. The installed tool schemas are the complete contract for supported modes and fields.

Remote MCP

The remote endpoint is https://mcp.crowdlisten.com/mcp. It supports authenticated HTTP clients and exposes the same three tools. The client must securely supply a valid CrowdListen account session using an Authorization: Bearer header and manage its refresh. The endpoint currently does not implement OAuth or anonymous URL-only setup. A successful initialize or tools/list response does not establish authorized data access. Verify recall({ mode: "connection" }) from the connected client. Never paste session credentials into chat. Most local clients should use the browser-authenticated stdio harness in the setup guide.

Expertise

Create and review a private method in My expertise. Choose an authorized workspace, then read the method and its revision:

recall({ mode: "workspaces" })
recall({ mode: "expertise", workspace_id: "WORKSPACE_UUID" })
recall({ mode: "expertise", expertise_id: "EXPERTISE_UUID" })

Quote the input before running it. Quotes do not run a model or debit credits.

analyze({
  action: "expertise",
  operation: "quote",
  expertise_id: "EXPERTISE_UUID",
  expected_revision: 1,
  files: [{ name: "conversation.txt", content: "Selected, authorized text" }]
})

Check ready, maximumCredits, availableCredits, expiresAt, and quoteHash. After the user authorizes that scope and maximum charge, submit the same revision and files:

analyze({
  action: "expertise",
  operation: "run",
  expertise_id: "EXPERTISE_UUID",
  expected_revision: 1,
  files: [{ name: "conversation.txt", content: "Selected, authorized text" }],
  request_id: "NEW_TASK_UUID",
  quote_hash: "RETURNED_QUOTE_HASH",
  confirmed: true
})

Preserve the request ID if the response is uncertain. Read progress rather than starting another task:

recall({ mode: "expertise_task", task_id: "TASK_UUID" })

The managed task continues after the client disconnects. Retrieve the published artifactId and exact file revision from its manifest:

recall({ mode: "expertise_result", package_id: "ARTIFACT_UUID" })
recall({
  mode: "expertise_result",
  package_id: "ARTIFACT_UUID",
  revision: 1,
  path: "README.md"
})

Result reads are free. Use the returned revision and a listed path; do not guess filenames. These reads do not launch a new analysis or change sharing. Cancel with:

analyze({ action: "expertise", operation: "cancel", task_id: "TASK_UUID" })

Work already performed can consume credits. Uncertain usage remains reserved until reconciled. Workspace access and method ownership are checked on each call.

Research and collection

Inspect subjects with recall({ mode: "entities" }). Verify a chosen subject using recall({ mode: "connection", entity_id: "ENTITY_UUID" }). This checks current scoped reads and permissions; it does not prove live platform access. recall({ mode: "collection_plan", entity_id: "ENTITY_UUID" }) reads the saved source scope. An agent with authorized browser or source tools can collect originals, save them with ingest({ destination: "sources", ... }), and record coverage separately. See the collection skill for the complete schema and retry rules.

Pilot experts

Some first-party experts use an additional protected router connection. Read the expert skill, reuse the user’s CrowdListen login, and check account-specific availability. Discovery and installation must not start paid work.

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​Remote MCP

​Expertise

​Research and collection

​Pilot experts

Remote MCP

Expertise

Research and collection

Pilot experts