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MCP Coding Assistant with support for OpenAI + other LLM Provide…

@arthurcolle

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Basic information

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AI & Agents

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stdio

Author

arthurcolle

About MCP Coding Assistant with support for OpenAI + other LLM Providers

OpenAI Code Assistant Model Context Protocol (MCP) Server

MCP Coding Assistant with support for OpenAI + other LLM Providers config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "openai-mcp": {
      "command": "python",
      "args": [
        "claude.py",
        "chat"
      ]
    }
  }
}

MCP Coding Assistant with support for OpenAI + other LLM Providers tools

7

** Read files with optional line limits

** Modify files with precise text replacement

** Create or overwrite files

** Find files by pattern matching

** Search file contents using regex

** List directory contents

** Execute shell commands

Overview

What is MCP Coding Assistant with support for OpenAI + other LLM Providers?

A Python-based coding assistant that provides a natural language interface for software development tasks, supporting multiple LLM providers (OpenAI, Anthropic). It includes Model Context Protocol (MCP) server and client capabilities, real-time tool visualization, cost management, and multi-agent coordination.

How to use MCP Coding Assistant with support for OpenAI + other LLM Providers?

Clone the repository, install dependencies with pip install -r requirements.txt, and set API keys in a .env file. Run in CLI mode with python claude.py chat, as an MCP server with python claude.py serve, as an MCP client with python claude.py mcp-client path/to/server.py, or in multi-agent mode with python claude.py mcp-multi-agent path/to/server.py --config config.json. Use flags like --provider, --model, and --budget to configure behavior.

Key features of MCP Coding Assistant with support for OpenAI + other LLM Providers

  • Multi-provider support (OpenAI, Anthropic)
  • Run as MCP server for Claude Desktop clients
  • Built-in MCP client to connect to any MCP server
  • Multi-agent synchronization for complex problem solving
  • Real-time tool execution progress and results
  • Cost tracking and budget controls
  • Tools: View, Edit, Replace, GlobTool, GrepTool, Bash, LS
  • Chat commands for compact, cost, budget, and providers

Use cases of MCP Coding Assistant with support for OpenAI + other LLM Providers

  • Interactive coding assistance via CLI with multiple LLM providers
  • Using the assistant as an MCP server for integration with Claude Desktop
  • Connecting to external MCP servers for tool augmentation
  • Collaborative problem-solving with specialized agents in multi-agent mode
  • Controlled-cost development sessions with budget limits

Frequently asked questions

1

Which LLM providers are supported?

OpenAI and Anthropic are supported; configure via `OPENAI_API_KEY` and `ANTHROPIC_API_KEY` environment variables.

2

What are the system requirements?

Python 3.10 or higher, with dependencies installed from `requirements.txt`. API keys for at least one provider must be set.

3

How do I manage costs?

Use the `--budget` flag when starting a session (e.g., `--budget 5.00`), and use the `/cost` and `/budget` chat commands to track and adjust spending.

4

What tools are available in the assistant?

View, Edit, Replace, GlobTool, GrepTool, LS, and Bash. These allow file reading, modification, search, pattern matching, directory listing, and command execution.

5

Can I use this as a server for other MCP clients?

Yes, run `python claude.py serve` to start the MCP server. The server provides a configuration page at `http://localhost:8000` with instructions for connecting Claude Desktop.

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