Unichat MCP Server

📋 Overview:

This webpage is the GitHub repository page for "unichat-mcp-server," a Python project by amidabuddha. It provides a server that uses the Model Context Protocol (MCP) to send requests to various AI providers, including OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek. The server also offers tools and predefined prompts for code review, documentation generation, code explanation, and code rework. The page includes instructions for quick start, installation, development, debugging, building, and publishing the package.

⭐ Key Points:

• The project is a Python-based server for interacting with multiple AI providers using the MCP protocol.


• It offers tools for code review, documentation, explanation, and rework.


• Vendor API keys are required for use.


• Installation instructions are provided for Smithery, MacOS, and Windows.


• Development, debugging, building, and publishing guidance are included.


• An inspector tool is recommended for debugging.


🔍 Main Findings:

• The repository contains code for a Python server implementing the MCP protocol for AI interactions.


• The project supports various AI models and requires API keys for access.


• The server provides tools for code-related tasks like review and documentation.


• Clear instructions are available for setting up, developing, and deploying the server.


📊 Details:

• Programming Languages: Predominantly Python (93.8%), with some Dockerfile (6.2%) configuration.


• License: MIT


• Tools: Includes a "unichat" tool for sending requests.


• Prompts: Supports pre-defined prompts such as codereview, documentcode, explaincode, and coderework.


• Installation Methods: Smithery CLI, manual configuration for Claude Desktop (MacOS, Windows).


• Building and Publishing: Uses uv sync and uv build for dependency management and package distribution.

🎯 Conclusion:
The "unichat-mcp-server" project is a publicly available resource that facilitates interactions with multiple AI services via the MCP protocol. The GitHub page provides the necessary information for developers to understand, install, use, and contribute to the project.