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Mcp Perplexity
What is Mcp Perplexity
mcp-perplexity is an MCP (Model Context Protocol) server implementation that integrates with Perplexity’s AI-powered internet search API, allowing AI assistants to perform internet searches and receive enhanced answers with source citations.
Use cases
Use cases include developing AI assistants that provide accurate information from the internet, automating customer support queries with sourced answers, and enhancing research tools that require real-time data retrieval.
How to use
To use mcp-perplexity, install it using ‘pnpm install’, configure it with your Perplexity API key via command line or environment variables, and start the server with ‘pnpm start’. You can also specify optional domain filters for search results.
Key features
Key features include internet search capabilities with AI-powered answers, source citations included with responses, optional domain filtering, configurable API parameters, a comprehensive logging system, MCP protocol compliance, and a command line interface.
Where to use
mcp-perplexity can be used in various fields such as AI development, customer support automation, research assistance, and any application requiring enhanced internet search capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Perplexity
mcp-perplexity is an MCP (Model Context Protocol) server implementation that integrates with Perplexity’s AI-powered internet search API, allowing AI assistants to perform internet searches and receive enhanced answers with source citations.
Use cases
Use cases include developing AI assistants that provide accurate information from the internet, automating customer support queries with sourced answers, and enhancing research tools that require real-time data retrieval.
How to use
To use mcp-perplexity, install it using ‘pnpm install’, configure it with your Perplexity API key via command line or environment variables, and start the server with ‘pnpm start’. You can also specify optional domain filters for search results.
Key features
Key features include internet search capabilities with AI-powered answers, source citations included with responses, optional domain filtering, configurable API parameters, a comprehensive logging system, MCP protocol compliance, and a command line interface.
Where to use
mcp-perplexity can be used in various fields such as AI development, customer support automation, research assistance, and any application requiring enhanced internet search capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Perplexity MCP Server
An MCP (Model Context Protocol) server implementation that integrates with Perplexity’s AI-powered internet search API. This server enables AI assistants to perform internet searches and receive AI-enhanced answers with source citations.
Features
- Internet search capabilities with AI-powered answers
- Source citations included with responses
- Optional domain filtering for search results
- Configurable API parameters
- Comprehensive logging system
- MCP protocol compliance
- Command line interface
Installation
pnpm install
Configuration
The server can be configured through command line arguments or environment variables:
Command Line Arguments
--api-key <key>- Perplexity API key-h, --help- Display help information
Environment Variables
PERPLEXITY_API_KEY- Perplexity API key (if not provided via command line)
Claude Desktop Configuration
To use this server with Claude Desktop, add the following to your Claude Desktop configuration file (usually located at ~/.claude-desktop/config.json):
{
"mcpServers": {
"perplexity": {
"command": "node",
"args": [
"/path/to/your/dev/mcp-perplexity/dist/stdio-server.js",
"--api-key",
"your-perplexity-api-key"
]
}
}
}
Replace /path/to/your/dev/mcp-perplexity with the actual path to your local development directory, and your-perplexity-api-key with your actual Perplexity API key.
Usage
Starting the Server
pnpm start
Or with direct API key:
pnpm start --api-key YOUR_API_KEY_HERE
Tool Capabilities
The server exposes a single tool named perplexity_search with the following input schema:
{
messages: {
role: 'system' | 'user',
content: string
}[],
searchDomainFilter?: string[] // Optional list of domains to restrict search results
}
Server Logs
Logs can be accessed through the MCP protocol at the resource URI logs://current.
Development
Project Structure
/src/server- Core server implementation/types- TypeScript type definitionsindex.ts- Main exportsstdio-server.ts- Command line interface
Building
pnpm build
Running Tests
pnpm test
API Constants
Default configurations can be found in src/types/Constants.ts:
- Default Model: llama-3.1-sonar-small-128k-online
- Default Temperature: 0.2
- Default Top P: 0.9
- Maximum Search Domains: 3
- Request Timeout: 30 seconds
Error Handling
The server implements comprehensive error handling:
- Input validation using Zod schemas
- API error handling with retry logic
- Clear error messages in MCP responses
- Detailed logging of all operations
Contributing
- Fork the repository
- Create your feature branch:
git checkout -b feature/my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin feature/my-new-feature - Submit a pull request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Martin Bechard [email protected]
Acknowledgments
- Uses the Perplexity API for AI-powered internet search
- Built with the Anthropic MCP SDK
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










