Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts
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unichat-mcp-server MCP server

Unichat MCP Server

Tools

The server implements one tool:

  • unichat: Send a request to unichat
    • Takes "messages" as required string arguments
    • Returns a response

Prompts

  • code_review
    • Review code for best practices, potential issues, and improvements
    • Arguments:
      • code (string, required): The code to review"
  • document_code
    • Generate documentation for code including docstrings and comments
    • Arguments:
      • code (string, required): The code to comment"
  • explain_code
    • Explain how a piece of code works in detail
    • Arguments:
      • code (string, required): The code to explain"

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

<details> <summary>Development/Unpublished Servers Configuration</summary> ``` "mcpServers": { "unichat-mcp-server": { "command": "uv", "args": [ "--directory", "{{your source code local directory}}/unichat-mcp-server", "run", "unichat-mcp-server" ], "env": { "UNICHAT_MODEL": "SELECTED_UNICHAT_MODEL", "UNICHAT_API_KEY": "YOUR_UNICHAT_API_KEY" } } } ``` </details> <details> <summary>Published Servers Configuration</summary> ``` "mcpServers": { "unichat-mcp-server": { "command": "uvx", "args": [ "unichat-mcp-server" ], "env": { "UNICHAT_MODEL": "SELECTED_UNICHAT_MODEL", "UNICHAT_API_KEY": "YOUR_UNICHAT_API_KEY" } } } ``` </details>

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish --token {{YOUR_PYPI_API_TOKEN}}

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uvx --directory {{your source code local directory}}/unichat-mcp-server run unichat-mcp-server

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Features

multi-AI integration
prompt management
API orchestration

Category

Integrations