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

Installation

From PyPI (Recommended)

# Install directly from PyPI
pip install perplexica-mcp

# Or using uvx for isolated execution
uvx perplexica-mcp --help

From Source

# Clone the repository
git clone https://github.com/thetom42/perplexica-mcp.git
cd perplexica-mcp

# Install dependencies
uv sync

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)

{
  "mcpServers": {
    "perplexica": {
      "command": "uvx",
      "args": ["perplexica-mcp", "stdio"],
      "env": {
        "PERPLEXICA_BACKEND_URL": "http://localhost:3000/api/search"
      }
    }
  }
}

Alternative (from source):

{
  "mcpServers": {
    "perplexica": {
      "command": "uv",
      "args": ["run", "/path/to/perplexica-mcp/src/perplexica_mcp.py", "stdio"],
      "env": {
        "PERPLEXICA_BACKEND_URL": "http://localhost:3000/api/search"
      }
    }
  }
}

SSE Transport

For SSE transport, first start the server:

uv run src/perplexica_mcp.py sse

Then configure Claude Desktop:

{
  "mcpServers": {
    "perplexica": {
      "url": "http://localhost:3001/sse"
    }
  }
}

Cursor IDE

Add to your Cursor MCP configuration:

{
  "servers": {
    "perplexica": {
      "command": "uvx",
      "args": ["perplexica-mcp", "stdio"],
      "env": {
        "PERPLEXICA_BACKEND_URL": "http://localhost:3000/api/search"
      }
    }
  }
}

Alternative (from source):

{
  "servers": {
    "perplexica": {
      "command": "uv",
      "args": ["run", "/path/to/perplexica-mcp/src/perplexica_mcp.py", "stdio"],
      "env": {
        "PERPLEXICA_BACKEND_URL": "http://localhost:3000/api/search"
      }
    }
  }
}

Generic MCP Client Configuration

For any MCP client supporting stdio transport:

# Command to run the server (PyPI installation)
uvx perplexica-mcp stdio

# Command to run the server (from source)
uv run /path/to/perplexica-mcp/src/perplexica_mcp.py stdio

# Environment variables
PERPLEXICA_BACKEND_URL=http://localhost:3000/api/search

For HTTP/SSE transport clients:

# Start the server (PyPI installation)
uvx perplexica-mcp sse  # or 'http'

# Start the server (from source)
uv run /path/to/perplexica-mcp/src/perplexica_mcp.py sse  # or 'http'

# Connect to endpoints
SSE: http://localhost:3001/sse
HTTP: http://localhost:3002/mcp/

Configuration Notes

Path Configuration: Replace /path/to/perplexica-mcp/ with the actual path to your installation
Perplexica URL: Ensure PERPLEXICA_BACKEND_URL points to your running Perplexica instance
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
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:

PERPLEXICA_BACKEND_URL=http://localhost:3000/api/search

Usage

The server supports three transport modes:

1. Stdio Transport

# PyPI installation
uvx perplexica-mcp stdio

# From source
uv run src/perplexica_mcp.py stdio

2. SSE Transport

# PyPI installation
uvx perplexica-mcp sse [host] [port]

# From source
uv run src/perplexica_mcp.py sse [host] [port]
# Default: localhost:3001, endpoint: /sse

3. Streamable HTTP Transport

# PyPI installation
uvx perplexica-mcp http [host] [port]

# From source
uv run src/perplexica_mcp.py http [host] [port]
# Default: localhost:3002, endpoint: /mcp

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

docker network create backend

Build and Run

Option 1: HTTP Transport (Streamable HTTP)

# Build and run with HTTP transport
docker-compose up -d

# Or build first, then run
docker-compose build
docker-compose up -d

Option 2: SSE Transport (Server-Sent Events)

# Build and run with SSE transport
docker-compose -f docker-compose-sse.yml up -d

# Or build first, then run
docker-compose -f docker-compose-sse.yml build
docker-compose -f docker-compose-sse.yml up -d

Environment Configuration

Both Docker configurations support environment variables:

# Create .env file for Docker
cat > .env << EOF
PERPLEXICA_BACKEND_URL=http://perplexica-app:3000/api/search
EOF

# Uncomment env_file in docker-compose.yml to use .env file

Or set environment variables directly in the compose file:

environment:
  - PERPLEXICA_BACKEND_URL=http://your-perplexica-host:3000/api/search

Container Details

Transport	Container Name	Port	Endpoint	Health Check
HTTP	`perplexica-mcp-http`	3001	`/mcp/`	MCP initialize request
SSE	`perplexica-mcp-sse`	3001	`/sse`	SSE endpoint check

Health Monitoring

Both containers include health checks:

# Check container health
docker ps
docker-compose ps

# View health check logs
docker logs perplexica-mcp-http
docker logs perplexica-mcp-sse

Integration with Perplexica

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

# Example Perplexica service in the same compose file
services:
  perplexica-app:
    # ... your Perplexica configuration
    networks:
      - backend
  
  perplexica-mcp:
    # ... MCP server configuration
    environment:
      - PERPLEXICA_BACKEND_URL=http://perplexica-app:3000/api/search
    networks:
      - backend

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:

uv run src/test_transports.py

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

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   MCP Client    │◄──►│ Perplexica MCP   │◄──►│   Perplexica    │
│                 │    │     Server       │    │   Search API    │
│  (stdio/SSE/    │    │   (FastMCP)      │    │                 │
│   HTTP)         │    │                  │    │                 │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                              │
                              ▼
                       ┌──────────────┐
                       │   FastMCP    │
                       │  Framework   │
                       │ ┌──────────┐ │
                       │ │  stdio   │ │
                       │ │   SSE    │ │
                       │ │  HTTP    │ │
                       │ └──────────┘ │
                       └──────────────┘

License

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

Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
Submit a pull request

Support

For issues and questions:

Check the troubleshooting section
Review the Perplexica documentation
Open an issue on GitHub

Install Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that acts as a proxy to provide LLM access to Perplexica's AI-powered search engine, enabling AI assistants to perform searches with various focus modes.

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