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rileyedwards77

Perplexity AI MCP Server

find_apis

Search for and assess APIs to integrate into your project based on specific functionality requirements and project context.

Instructions

Find and evaluate APIs that could be integrated into a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requirementYesThe functionality or requirement you're looking to fulfill
contextNoAdditional context about the project or specific needs

Implementation Reference

  • Handler for the 'find_apis' tool. It extracts the requirement and optional context from arguments, constructs a search query for Perplexity API, calls the /search endpoint, and returns the response as text content.
    case "find_apis": { const { requirement, context = "" } = request.params .arguments as { requirement: string; context?: string; }; const response = await this.axiosInstance.post('/search', { query: `API for ${requirement} ${context}` }); return { content: [ { type: "text", text: JSON.stringify(response.data, null, 2), }, ], }; }
  • index.ts:164-184 (registration)
    Tool registration entry for 'find_apis' in the listTools response, including name, description, and input schema definition.
    { name: "find_apis", description: "Find and evaluate APIs that could be integrated into a project", inputSchema: { type: "object", properties: { requirement: { type: "string", description: "The functionality or requirement you're looking to fulfill", }, context: { type: "string", description: "Additional context about the project or specific needs", }, }, required: ["requirement"], }, },
  • Input schema for the 'find_apis' tool defining the expected arguments: requirement (required string) and optional context string.
    inputSchema: { type: "object", properties: { requirement: { type: "string", description: "The functionality or requirement you're looking to fulfill", }, context: { type: "string", description: "Additional context about the project or specific needs", }, }, required: ["requirement"], },

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