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
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/
directory.
- 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