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2024-12-25

镜像://github.com/amidabuddha/unichat-ts-mcp-server

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Unichat MCP Server in TypeScript

smithery badge 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.

unichat-ts-mcp-server 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"
  • 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:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

Installing via Smithery

To install Unichat MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install unichat-ts-mcp-server --client claude

Installing manually

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:

{
  "mcpServers": {
    "unichat-ts-mcp-server": {
      "command": "node",
      "args": [
        "{{/path/to}}/unichat-ts-mcp-server/build/index.js"
      ],
      "env": {
        "UNICHAT_MODEL": "YOUR_PREFERRED_MODEL_NAME",
        "UNICHAT_API_KEY": "YOUR_VENDOR_API_KEY"
      }
    }
}

Run published:

{
  "mcpServers": {
    "unichat-ts-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "unichat-ts-mcp-server"
      ],
      "env": {
        "UNICHAT_MODEL": "YOUR_PREFERRED_MODEL_NAME",
        "UNICHAT_API_KEY": "YOUR_VENDOR_API_KEY"
      }
    }
}

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

npx -y unichat-ts-mcp-server --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:

npm run inspector

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

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    Reviews

    3 (1)
    Avatar
    user_1mkrLDgb
    2025-04-15

    I've been using the MCP Random Number Generator Tool by hyuraku for my coding projects, and it's fantastic! It generates truly random numbers efficiently and is incredibly user-friendly. The interface is clean, and the performance is top-notch. Definitely a must-have for developers looking for reliable RNG tools. Highly recommended!