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Use MCP search results as evidence

Preserve provenance when an external search tool contributes to a GoCux workflow.

Preserve provenance when an external search tool contributes to a GoCux workflow.

Practical procedure

  1. Choose an authorized search MCP server in the local client and define the question and allowed source scope.
  2. Inspect the returned passages, URLs and dates before selecting evidence. Import retained material into Knowledge when later research must use it reproducibly.
  3. Keep the original tool result distinct from a generated interpretation and cite only evidence actually obtained.

Search the project corpus

Knowledge holds document text and provenance inside a project. Create a source, upload a document into that source, and inspect the extracted text before relying on a search result. Full-text retrieval is available after ingestion; semantic retrieval contributes when the embedding configuration and backfill are available. This operation searches the uploaded corpus, rather than fetching arbitrary web pages.

Contract example

Developer examples below describe routes on an authorized, configured GoCux control-plane base URL. They are request shapes or operation references, not claims that a particular public hostname exposes the API. Use the workspace for the corresponding human workflow; availability and permissions depend on the actual deployment.

POST /knowledge/search — example request body

{
  "projectId": "project-id",
  "query": "renewal conditions effective date",
  "limit": 10
}

Inspect the result

The response contains the query and a hits array. Use the returned chunk provenance to trace each hit to its document and source. Compare the actual passage with the question before treating it as evidence. Search ranking helps find material; it does not itself establish that a claim is correct.

What to keep explicit

An external search MCP may fetch the web; /knowledge/search searches project documents. Do not describe one as the other or assume matching result schemas.

Handle incomplete and refused work

projectId must identify an existing project; the query is 1–1,000 characters and limit is 1–50, default 10. An empty hits array is a valid result. A 503 is an unavailable store and must remain visibly different from an empty result. Semantic unavailability must not be described as a complete search outage when full-text search still works.

Bring this workflow into your workspace.

Set the scope. Review the evidence. Approve the steps that need it.

Open the workspace

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