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Perplexity MCP Server

by MCP-Mirror

The Perplexity MCP Server provides intelligent code analysis and debugging capabilities using Perplexity AI's API. It works seamlessly with the Claude desktop client to offer detailed error analysis and solutions.

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What is Perplexity MCP Server?

A Model Context Protocol (MCP) server that leverages the Perplexity AI API to provide intelligent code analysis and debugging features, designed to work with the Claude desktop client.

How to use Perplexity MCP Server?

Install the server using npm or from source, then configure the Claude desktop client to use the server by adding it to the mcpServers configuration. Provide code snippets and questions related to errors or debugging needs to the Claude client, and the server will provide analysis and solutions.

Key features of Perplexity MCP Server

  • Intelligent Error Analysis

  • Pattern Detection

  • Comprehensive Solutions

  • Best Practices

  • Python Support

Use cases of Perplexity MCP Server

  • Debugging Python code

  • Identifying root causes of errors

  • Finding solutions to coding problems

  • Improving code quality

  • Learning best practices

FAQ from Perplexity MCP Server

What is an MCP server?

A Model Context Protocol (MCP) server facilitates communication between a language model (like Perplexity AI) and a client application (like Claude) to provide context-aware services.

Do I need a Perplexity AI API key?

Yes, you need a Perplexity AI API key to use this server. You can obtain one from the Perplexity AI platform.

How do I configure the Claude desktop client?

You need to modify the claude_desktop_config.json file in your Claude application support directory to include the server configuration.

What kind of errors can this server help with?

The server is designed to help with a wide range of coding errors, including Python type errors, logical errors, and common coding issues.

Can I contribute to this project?

Yes, you can contribute by forking the repository, creating a feature branch, committing your changes, and submitting a pull request.