Perplexity AI MCP Server

# Perplexity AI MCP Server An MCP server implementation that integrates Perplexity AI's API, providing advanced search capabilities with multiple model options. ## Features - Search using Perplexity AI's models - Support for all official Sonar models - Configurable result count - Detailed error handling and logging - MCP Inspector compatible ## Available Models - sonar-reasoning-pro (127k context) - sonar-reasoning (127k context) - sonar-pro (200k context) - sonar (127k context) ## Installation ```bash pnpm install pnpm build ``` ## Configuration ### API Key 1. Sign up for a [Perplexity AI account](https://www.perplexity.ai) 2. Get your API key from the dashboard 3. Set the environment variable: ```bash export PERPLEXITY_API_KEY=your_api_key_here ``` ## Usage ### Direct Execution ```bash node dist/index.js # or if you made it executable ./dist/index.js ``` ### Development ```bash pnpm dev ``` ### Testing with MCP Inspector ```bash pnpm inspect ``` ## Tool Reference ### perplexity_search Performs a search using Perplexity AI's models. Parameters: - `query` (string, required): The search query - `model` (string, optional): Model to use (default: "sonar") - Available options: sonar-reasoning-pro, sonar-reasoning, sonar-pro, sonar - `count` (number, optional): Number of results (1-10, default: 5) ## Development ### Project Structure ``` src/perplexity/ ├── index.ts # Main server implementation ├── lib/ │ └── logger.ts # Logging configuration └── adr.md # Architectural decisions ``` ### Logging Logs are written to `perplexity-mcp.log` in the project root directory. ## License MIT ## Contributing 1. Fork the repository 2. Create your feature branch 3. Commit your changes 4. Push to the branch 5. Create a new Pull Request