mcp-perplexity-search

⚠️ Notice

This repository is no longer maintained.

The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.

Please use mcp-omnisearch instead.

A Model Context Protocol (MCP) server for integrating Perplexity's AI API with LLMs. This server provides advanced chat completion capabilities with specialized prompt templates for various use cases.

Features

• 🤖 Advanced chat completion using Perplexity's AI models

• 📝 Predefined prompt templates for common scenarios:

  • Technical documentation generation

  • Security best practices analysis

  • Code review and improvements

  • API documentation in structured format

• 🎯 Custom template support for specialized use cases

• 📊 Multiple output formats (text, markdown, JSON)

• 🔍 Optional source URL inclusion in responses

• ⚙️ Configurable model parameters (temperature, max tokens)

• 🚀 Support for various Perplexity models including Sonar and LLaMA

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

Environment Variables

The server requires the following environment variable:

• PERPLEXITY_API_KEY: Your Perplexity API key (required)

API

The server implements a single MCP tool with configurable parameters:

chat_completion

Generate chat completions using the Perplexity API with support for specialized prompt templates.

Parameters:

• messages (array, required): Array of message objects with:

  • role (string): 'system', 'user', or 'assistant'

  • content (string): The message content

• prompt_template (string, optional): Predefined template to use:

  • technical_docs: Technical documentation with code examples

  • security_practices: Security implementation guidelines

  • code_review: Code analysis and improvements

  • api_docs: API documentation in JSON format

• custom_template (object, optional): Custom prompt template with:

  • system (string): System message for assistant behaviour

  • format (string): Output format preference

  • include_sources (boolean): Whether to include sources

• format (string, optional): 'text', 'markdown', or 'json' (default: 'text')

• include_sources (boolean, optional): Include source URLs (default: false)

• model (string, optional): Perplexity model to use (default: 'sonar')

• temperature (number, optional): Output randomness (0-1, default: 0.7)

• max_tokens (number, optional): Maximum response length (default: 1024)

Development

Setup

1. Clone the repository

2. Install dependencies:

3. Build the project:

4. Run in development mode:

Publishing

The project uses changesets for version management. To publish:

1. Create a changeset:

2. Version the package:

3. Publish to npm:

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the LICENSE file for details.

Acknowledgments

• Built on the Model Context Protocol

• Powered by Perplexity SONAR