What are the runtime dependencies?
MCP Server requires Node.js, Express.js, Axios, Body-parser, and the CORS package. All listed in the README under “Environment Details”.
@Master-Faraz-official
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Node.js-MCP-Server": {
"command": "node",
"args": [
"index.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server is a simple Node.js proxy server that exposes two API endpoints (GET /v1/models and POST /v1/chat/completions) for interacting with locally running LM Studio models. It bridges LM Studio and provides responses in an OpenAI-compatible format, intended for developers who need a lightweight middleware for local LLM access.
npm install to install dependencies.http://localhost:11434.node index.js — it will listen on http://localhost:3000.GET /v1/models and POST /v1/chat/completions) to fetch models or send chat completions.MCP Server requires Node.js, Express.js, Axios, Body-parser, and the CORS package. All listed in the README under “Environment Details”.
Yes. The server proxies requests to LM Studio at `http://localhost:11434`. LM Studio must be running on the same machine for endpoints to work.
All data stays local. The server runs on your machine and forwards requests to LM Studio, which also runs locally. No external service is involved.
The server uses standard HTTP (no TLS by default) and does not include authentication. It listens on `http://localhost:3000` and expects clients to connect on the same host.
The README does not list any specific limitations beyond the requirement that LM Studio must be running locally. The server provides only the two described endpoints and does not handle streaming, authentication, or advanced routing.
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