query_docs
Search documents using natural language questions to find specific information within your Langflow Q&A system.
Instructions
Query the document Q&A system with a prompt
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The query prompt to search for in the documents |
Implementation Reference
- src/index.ts:53-68 (registration)Registration of the 'query_docs' tool including its name, description, and input schema in the ListToolsRequestSchema handler.
{ name: 'query_docs', description: 'Query the document Q&A system with a prompt', inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'The query prompt to search for in the documents', }, }, required: ['query'], }, }, ], })); - src/index.ts:56-66 (schema)Input schema definition for the 'query_docs' tool.
inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'The query prompt to search for in the documents', }, }, required: ['query'], }, }, - src/index.ts:70-125 (handler)Handler for CallToolRequestSchema that implements the 'query_docs' tool by checking the tool name and making an API call to the document Q&A endpoint with the query, returning the response text.
this.server.setRequestHandler(CallToolRequestSchema, async (request) => { if (request.params.name !== 'query_docs') { throw new McpError( ErrorCode.MethodNotFound, `Unknown tool: ${request.params.name}` ); } const { query } = request.params.arguments as { query: string }; try { const response = await axios.post<QueryResponse>( this.apiEndpoint, { input_value: query, output_type: 'chat', input_type: 'chat', tweaks: { 'ChatInput-Jrzyb': {}, 'ChatOutput-rzoZb': {}, 'ParseData-hzL7Q': {}, 'File-2Teuj': {}, 'Prompt-ktajI': {}, 'MistralModel-aLZcw': {} } }, { headers: { 'Content-Type': 'application/json', }, params: { stream: false, }, } ); const result = response.data.outputs[0].outputs[0].results.message.text; return { content: [ { type: 'text', text: result, }, ], }; } catch (error) { if (axios.isAxiosError(error)) { throw new McpError( ErrorCode.InternalError, `API request failed: ${error.message}` ); } throw error; } });