Perplexica MCP Server

A Model Context Protocol (MCP) server that provides search functionality using Perplexica's AI-powered search engine.

Features

• Search Tool: AI-powered web search with multiple focus modes

• Multiple Transport Support: stdio, SSE, and Streamable HTTP transports

• FastMCP Integration: Built using FastMCP for robust MCP protocol compliance

• Unified Architecture: Single server implementation supporting all transport modes

• Production Ready: Docker support with security best practices

Development Environment

For Claude Code Users

Important: If you are using Claude Code for development, this project requires the use of the container-use MCP server for all development operations. All file operations, code changes, and shell commands must be executed within container-use environments.

Working with Container-Use (Claude Code Only)

When contributing to this project using Claude Code, you must:

1. Use Container-Use Only: All file operations, code editing, and shell commands must be performed using container-use environments

2. View Your Work: After making changes, inform others how to access your work:

   • Use container-use log <env_id> to view the development log

   • Use container-use checkout <env_id> to check out your environment

3. No Local Operations: Do not perform file operations directly on the local filesystem

Example Development Workflow (Claude Code)

This ensures consistency, reproducibility, and proper version control for all development activities when using Claude Code.

For Other Development Environments

If you are not using Claude Code, you can develop normally using your preferred tools and IDE. The container-use requirement does not apply to regular development workflows.

Installation

From PyPI (Recommended)

From Source

MCP Client Configuration

To use this server with MCP clients, you need to configure the client to connect to the Perplexica MCP server. Below are configuration examples for popular MCP clients.

Claude Desktop

Stdio Transport (Recommended)

Add the following to your Claude Desktop configuration file:

Location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Alternative (from source):

SSE Transport

For SSE transport, first start the server:

Then configure Claude Desktop:

Cursor IDE

Add to your Cursor MCP configuration:

Alternative (from source):

Generic MCP Client Configuration

For any MCP client supporting stdio transport:

For HTTP/SSE transport clients:

Configuration Notes

1. Path Configuration: Replace /path/to/perplexica-mcp/ with the actual path to your installation

2. Perplexica URL: Ensure PERPLEXICA_BACKEND_URL points to your running Perplexica instance

3. Transport Selection:

   • Use stdio for most MCP clients (Claude Desktop, Cursor)

   • Use SSE for web-based clients or real-time applications

   • Use HTTP for REST API integrations

4. Dependencies: Ensure uvx is installed and available in your PATH (or uv for source installations)

Troubleshooting

• Server not starting: Check that uvx (or uv for source) is installed and the path is correct

• Connection refused: Verify Perplexica is running and accessible at the configured URL

• Permission errors: Ensure the MCP client has permission to execute the server command

• Environment variables: Check that PERPLEXICA_BACKEND_URL is properly set

Server Configuration

Create a .env file in the project root with your Perplexica configuration:

Environment Variables

Note: The model environment variables are optional. If not set, you'll need to specify models in each search request. When set, they provide convenient defaults that can still be overridden per request.

Usage

The server supports three transport modes:

1. Stdio Transport

2. SSE Transport

3. Streamable HTTP Transport

Docker Deployment

The server includes Docker support with multiple transport configurations for containerized deployments.

Prerequisites

• Docker and Docker Compose installed

• External Docker network named backend (for integration with Perplexica)

Create External Network

Build and Run

Option 1: HTTP Transport (Streamable HTTP)

Option 2: SSE Transport (Server-Sent Events)

Environment Configuration

Both Docker configurations support environment variables:

Or set environment variables directly in the compose file:

Container Details

Health Monitoring

Both containers include health checks:

Integration with Perplexica

The Docker setup assumes Perplexica is running in the same Docker network:

Production Considerations

• Both containers use restart: unless-stopped for reliability

• Health checks ensure service availability

• External network allows integration with existing Perplexica deployments

• Security best practices implemented in Dockerfile

Available Tools

search

Performs AI-powered web search using Perplexica.

Parameters:

• query (string, required): Search query

• focus_mode (string, required): One of 'webSearch', 'academicSearch', 'writingAssistant', 'wolframAlphaSearch', 'youtubeSearch', 'redditSearch'

• chat_model (string, optional): Chat model configuration

• embedding_model (string, optional): Embedding model configuration

• optimization_mode (string, optional): 'speed' or 'balanced'

• history (array, optional): Conversation history

• system_instructions (string, optional): Custom instructions

• stream (boolean, optional): Whether to stream responses

Testing

Run the comprehensive test suite to verify all transports:

This will test:

• ✓ Stdio transport with MCP protocol handshake

• ✓ HTTP transport with Streamable HTTP compliance

• ✓ SSE transport endpoint accessibility

Transport Details

Stdio Transport

• Uses FastMCP's built-in stdio server

• Supports full MCP protocol including initialization and tool listing

• Ideal for MCP client integration

SSE Transport

• Server-Sent Events for real-time communication

• Endpoint: http://host:port/sse

• Includes periodic ping messages for connection health

Streamable HTTP Transport

• Compliant with MCP Streamable HTTP specification

• Endpoint: http://host:port/mcp

• Returns 307 redirect to /mcp/ as per protocol

• Uses StreamableHTTPSessionManager for proper session handling

Development

The server is built using:

• FastMCP: Modern MCP server framework with built-in transport support

• Uvicorn: ASGI server for SSE and HTTP transports

• httpx: HTTP client for Perplexica API communication

• python-dotenv: Environment variable management

Architecture

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository

2. Create a feature branch (using container-use environments if using Claude Code)

3. Make your changes (within container-use environment if using Claude Code)

4. Add tests if applicable

5. Submit a pull request

6. If using Claude Code, provide access to your work via container-use log <env_id> and container-use checkout <env_id>

Support

For issues and questions:

• Check the troubleshooting section

• Review the Perplexica documentation

• Open an issue on GitHub