Unichat MCP Server in TypeScript

@amidabuddha

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

amidabuddha

Unichat MCP Server in TypeScript について

概要はまだありません

Unichat MCP Server in TypeScript の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "unichat-ts-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "unichat-ts-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Unichat MCP Server in TypeScript のツール

Send a request to unichat

概要

What is Unichat MCP Server in TypeScript?

Unichat MCP Server in TypeScript is an MCP server that sends chat requests to AI vendors—OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek—via a single tool or predefined prompts. It requires a vendor-specific API key and is intended for developers using the MCP protocol.

How to use Unichat MCP Server in TypeScript?

Install automatically via Smithery (npx @smithery/cli install unichat-ts-mcp-server --client claude) or manually by adding the server configuration to Claude Desktop’s JSON file. Set UNICHAT_MODEL and UNICHAT_API_KEY environment variables. Run locally with node build/index.js or published with npx -y unichat-ts-mcp-server. Use --sse for SSE transport (default is STDIO). For remote SSE, set MCP_ALLOWED_HOSTS to a comma-separated list of allowed hostnames.

Key features of Unichat MCP Server in TypeScript

One tool: unichat for sending chat requests
Four predefined prompts: code review, document code, explain code, code rework
Supports STDIO and SSE transport mechanisms
Works with multiple AI vendors (OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek)
Available as an npm package and via Smithery

Use cases of Unichat MCP Server in TypeScript

Review code for best practices and potential issues
Generate code documentation including docstrings and comments
Explain code functionality in detail
Apply requested changes to existing code

よくある質問

Which AI vendors are supported?

OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek are supported. You must provide the corresponding vendor API key.

How do I choose the model to use?

Set the `UNICHAT_MODEL` environment variable to your preferred model name (e.g., `gpt-5.4-mini`). A full list of supported model names is available in the [models.ts file](https://github.com/amidabuddha/unichat-ts/blob/main/src/models.ts).

What transport modes are available?

The server supports both STDIO (default) and SSE. To run in SSE mode, add the `--sse` argument when starting the server. SSE transport validates the `Host` header against `localhost`, `127.0.0.1`, and `[::1]` by default; for remote deployments, set `MCP_ALLOWED_HOSTS`.

Where is the Claude Desktop configuration file?

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

What dependencies are required?

Node.js and npm are required. Install dependencies with `npm install`, then build with `npm run build`. For development, use `npm run watch` for auto-rebuild.

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