MCP Coding Assistant with support for OpenAI + other LLM Providers

What is Claude Code Python Edition? Claude Code Python Edition is a powerful Python recreation of the Claude Code with enhanced real-time visualization, cost management, and Model Context Protocol (MCP) server capabilities. It provides a natural language interface for software development tasks with support for multiple LLM providers. How to use Claude Code Python Edition? To use Claude Code, clone the repository, install the dependencies, and set up your API keys in a .env file. You can run it in CLI mode or as an MCP server. Key features of Claude Code Python Edition? Multi-provider support for OpenAI, Anthropic, and other LLM providers. Model Context Protocol integration for running as an MCP server. Real-time tool visualization to see execution progress. Cost management features to track token usage and expenses. Comprehensive tool suite for file operations, command execution, and more. Enhanced UI with rich terminal interface and syntax highlighting. Context optimization for smart conversation management. Multi-agent coordination for complex problem solving. Use cases of Claude Code Python Edition? Assisting in software development tasks with natural language queries. Running multiple agents to collaborate on complex projects. Visualizing tool execution in real-time for better understanding. FAQ from Claude Code Python Edition? Can Claude Code work with different LLM providers? Yes! It supports multiple providers including OpenAI and Anthropic. Is there a cost associated with using Claude Code? While the tool itself is free, usage costs may apply based on the LLM provider's pricing. How can I run Claude Code as an MCP server? You can run it by executing python claude.py serve after setting up your environment.

As an MCP (Model Context Protocol) server, MCP Coding Assistant with support for OpenAI + other LLM Providers enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Claude Code, clone the repository, install the dependencies, and set up your API keys in a .env file. You can run it in CLI mode or as an MCP server. Key features of Claude Code Python Edition? Multi-provider support for OpenAI, Anthropic, and other LLM providers. Model Context Protocol integration for running as an MCP server. Real-time tool visualization to see execution progress. Cost management features to track token usage and expenses. Comprehensive tool suite for file operations, command execution, and more. Enhanced UI with rich terminal interface and syntax highlighting. Context optimization for smart conversation management. Multi-agent coordination for complex problem solving. Use cases of Claude Code Python Edition? Assisting in software development tasks with natural language queries. Running multiple agents to collaborate on complex projects. Visualizing tool execution in real-time for better understanding. FAQ from Claude Code Python Edition? Can Claude Code work with different LLM providers? Yes! It supports multiple providers including OpenAI and Anthropic. Is there a cost associated with using Claude Code? While the tool itself is free, usage costs may apply based on the LLM provider's pricing. How can I run Claude Code as an MCP server? You can run it by executing python claude.py serve after setting up your environment.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.