Unichat MCP Server in TypeScript

Also available in Python

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required.

Both STDIO and SSE transport mechanisms supported via arguments.

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"
• code_rework
  • Apply requested changes to the provided code
  • Arguments:
    • changes (string, optional): The changes to apply"
    • code (string, required): The code to rework"

Development

Install dependencies:

Build the server:

For development with auto-rebuild:

Installation

To use with Claude Desktop, add the server config:

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

Runs in STDIO by default or with argument --stdio. To run in SSE add argument --sse

Run locally:

Run published:

Runs in STDIO by default or with argument --stdio. To run in SSE add argument --sse

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

The Inspector will provide a URL to access debugging tools in your browser.

If you experience timeouts during testing in SSE mode change the request URL on the inspector interface to: http://localhost:3001/sse?timeout=600000