A
security-
licenseA
qualityA server facilitating web search functionality by utilizing Perplexity AI's API, designed to integrate with the Claude desktop client for enhanced search queries.
Last updated -
256
MIT License
The Perplexity MCP Server provides intelligent code analysis and debugging capabilities through Perplexity AI's API.
Key capabilities include:
Error Analysis: Identifies root causes of coding errors with detailed breakdowns
Pattern Detection: Automatically identifies common error patterns
Comprehensive Solutions: Delivers step-by-step fixes with multiple implementation alternatives
Best Practices: Provides coding standards and error prevention tips
Language Support: Specialized handling for various languages, particularly Python-specific errors
Search Functionality: Allows users to search for coding help by providing queries with optional code snippets for targeted analysis
Requires Node.js 18 or higher as a runtime environment for the MCP server.
Leverages Perplexity AI's API to provide intelligent code analysis, error debugging, and solution recommendations for programming issues, with specialized support for Python.
Offers specialized error analysis and debugging for Python code, including type error detection, pattern recognition, and best practice recommendations.
Perplexity MCP Server
A Model Context Protocol (MCP) server that provides intelligent code analysis and debugging capabilities using Perplexity AI's API. Works seamlessly with the Claude desktop client.
Features
Intelligent Error Analysis: Detailed breakdown of coding errors with root cause analysis
Pattern Detection: Automatically recognizes common error patterns and provides targeted solutions
Comprehensive Solutions: Step-by-step fixes with multiple implementation alternatives
Best Practices: Includes coding standards and error prevention tips
Python Support: Specialized handling of Python type errors and common coding issues
Example Usage
Ask questions like:
"Fix this TypeError in my Python code"
"What's causing this error message?"
"How do I fix this code?"
Include your code snippet for targeted analysis:
def calculate_total(items):
total = 0
for item in items:
total = total + item['price'] # TypeError: string + int
data = [
{'name': 'Book', 'price': '10'},
{'name': 'Pen', 'price': '2'}
]
result = calculate_total(data)
The server will provide:
Root cause analysis of the error
Step-by-step solution with code examples
Best practices to prevent similar issues
Alternative implementation approaches
Installation
Prerequisites
Node.js 18 or higher
A Perplexity AI API key
Option 1: Install from npm (Recommended)
# Using npm
npm install -g perplexity-mcp
# Or using the repository directly
npm install -g git+https://github.com/yourusername/perplexity-mcp.git
Option 2: Install from Source
Clone the repository:
git clone https://github.com/yourusername/perplexity-server.git
cd perplexity-server
Install dependencies:
npm install
Build and install globally:
npm run build
npm install -g .
Configure Claude Desktop
Add to your Claude desktop configuration file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"perplexity": {
"command": "perplexity-mcp",
"args": [],
"env": {
"PERPLEXITY_API_KEY": "your-api-key-here"
}
}
}
}
Or if installed from source:
{
"mcpServers": {
"perplexity": {
"command": "node",
"args": ["/absolute/path/to/perplexity-server/build/index.js"],
"env": {
"PERPLEXITY_API_KEY": "your-api-key-here"
}
}
}
}
Security
The API key is stored securely in Claude's desktop configuration file
The key is passed to the server as an environment variable
No sensitive data is stored in the repository
The server expects the API key to be provided by Claude's environment
Development
Project Structure
perplexity-server/
├── src/
│ └── index.ts # Main server implementation
├── package.json # Project configuration
└── tsconfig.json # TypeScript configuration
Available Scripts
npm run build: Build the projectnpm run watch: Watch for changes and rebuild automaticallynpm run prepare: Prepare the package for publishingnpm run inspector: Run the MCP inspector for debugging
Contributing
Fork the repository
Create your feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add some amazing feature')Push to the branch (
git push origin feature/amazing-feature)Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
Thanks to Perplexity AI for their powerful API
Built with Model Context Protocol
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