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doc_connect

Link documents to AI agents by adding them to the agent's knowledge base for enhanced information access and processing.

Instructions

Connect/link a document to a Pickaxe agent, adding it to the agent's knowledge base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
studioNoStudio name to use. Available: STAGING, MAIN, DEV, PRODUCTION. Default: PRODUCTION
documentIdYesThe document ID to connect
pickaxeIdYesThe Pickaxe agent ID to connect the document to

Implementation Reference

  • The handler logic for the 'doc_connect' tool. It performs a POST request to the Pickaxe API '/studio/document/connect' endpoint with the required documentId and pickaxeId parameters, and returns the JSON-formatted response.
    case "doc_connect": { const result = await pickaxeRequest("/studio/document/connect", "POST", { documentId: args.documentId, pickaxeId: args.pickaxeId, }, studio); return JSON.stringify(result, null, 2); }
  • Input schema for the 'doc_connect' tool defining the expected parameters: optional 'studio', required 'documentId' and 'pickaxeId'.
    inputSchema: { type: "object", properties: { studio: studioParam, documentId: { type: "string", description: "The document ID to connect", }, pickaxeId: { type: "string", description: "The Pickaxe agent ID to connect the document to", }, }, required: ["documentId", "pickaxeId"], },
  • src/index.ts:172-190 (registration)
    Registration of the 'doc_connect' tool in the tools array, including name, description, and input schema. This array is used by the MCP server to list available tools.
    { name: "doc_connect", description: "Connect/link a document to a Pickaxe agent, adding it to the agent's knowledge base.", inputSchema: { type: "object", properties: { studio: studioParam, documentId: { type: "string", description: "The document ID to connect", }, pickaxeId: { type: "string", description: "The Pickaxe agent ID to connect the document to", }, }, required: ["documentId", "pickaxeId"], }, },

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