Firecrawl MCP Server

Instructions

Implementation Reference

• src/index.ts:1296-1364 (handler)

  The handler function for 'firecrawl_deep_research' tool. Validates arguments, calls client.deepResearch with query and options, logs activities and sources, formats the final analysis response.
  case 'firecrawl_deep_research': { if (!args || typeof args !== 'object' || !('query' in args)) { throw new Error('Invalid arguments for firecrawl_deep_research'); } try { const researchStartTime = Date.now(); safeLog('info', `Starting deep research for query: ${args.query}`); const response = await client.deepResearch( args.query as string, { maxDepth: args.maxDepth as number, timeLimit: args.timeLimit as number, maxUrls: args.maxUrls as number, // @ts-expect-error Extended API options including origin origin: 'mcp-server', }, // Activity callback (activity) => { safeLog( 'info', `Research activity: ${activity.message} (Depth: ${activity.depth})` ); }, // Source callback (source) => { safeLog( 'info', `Research source found: ${source.url}${source.title ? ` - ${source.title}` : ''}` ); } ); // Log performance metrics safeLog( 'info', `Deep research completed in ${Date.now() - researchStartTime}ms` ); if (!response.success) { throw new Error(response.error || 'Deep research failed'); } // Format the results const formattedResponse = { finalAnalysis: response.data.finalAnalysis, activities: response.data.activities, sources: response.data.sources, }; return { content: [ { type: 'text', text: trimResponseText(formattedResponse.finalAnalysis), }, ], isError: false, }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text', text: trimResponseText(errorMessage) }], isError: true, }; } }
• src/index.ts:589-638 (schema)

  The Tool definition for 'firecrawl_deep_research', including name, detailed description, and inputSchema for validation.
  const DEEP_RESEARCH_TOOL: Tool = { name: 'firecrawl_deep_research', description: ` Conduct deep web research on a query using intelligent crawling, search, and LLM analysis. **Best for:** Complex research questions requiring multiple sources, in-depth analysis. **Not recommended for:** Simple questions that can be answered with a single search; when you need very specific information from a known page (use scrape); when you need results quickly (deep research can take time). **Arguments:** - query (string, required): The research question or topic to explore. - maxDepth (number, optional): Maximum recursive depth for crawling/search (default: 3). - timeLimit (number, optional): Time limit in seconds for the research session (default: 120). - maxUrls (number, optional): Maximum number of URLs to analyze (default: 50). **Prompt Example:** "Research the environmental impact of electric vehicles versus gasoline vehicles." **Usage Example:** \`\`\`json { "name": "firecrawl_deep_research", "arguments": { "query": "What are the environmental impacts of electric vehicles compared to gasoline vehicles?", "maxDepth": 3, "timeLimit": 120, "maxUrls": 50 } } \`\`\` **Returns:** Final analysis generated by an LLM based on research. (data.finalAnalysis); may also include structured activities and sources used in the research process. `, inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'The query to research', }, maxDepth: { type: 'number', description: 'Maximum depth of research iterations (1-10)', }, timeLimit: { type: 'number', description: 'Time limit in seconds (30-300)', }, maxUrls: { type: 'number', description: 'Maximum number of URLs to analyze (1-1000)', }, }, required: ['query'], }, };
• src/index.ts:962-973 (registration)

  Registration of all tools including 'firecrawl_deep_research' (as DEEP_RESEARCH_TOOL) in the ListToolsRequestSchema handler.
  server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: [ SCRAPE_TOOL, MAP_TOOL, CRAWL_TOOL, CHECK_CRAWL_STATUS_TOOL, SEARCH_TOOL, EXTRACT_TOOL, DEEP_RESEARCH_TOOL, GENERATE_LLMSTXT_TOOL, ], }));