What transport protocol does Nest Llm Aigent use for MCP servers?
Currently only stdio transport is implemented; SSE server support is planned for future versions.
@luis1232023
基本信息
Stdio Mcp Server 转为 RestFul,轻松部署与 Web 服务集成, mcp gateway
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。
Nest Llm Aigent is a forwarding/proxy solution that wraps multiple MCP (Model Context Protocol) servers into a unified HTTP service for large language models. Designed for developers integrating MCP capabilities into existing web services (e.g., NestJS), it acts as an AI agent that centralizes configuration and exposes standardized RESTful endpoints.
Install MCP servers as private NPM packages and configure them in an mcp.config.json file. The running service exposes POST endpoints at paths like /api/mcp/tools, /api/mcp/tools/call, and /api/mcp/agent for HTTP-based access to tools, resources, and LLM invocation.
mcp.config.jsonCurrently only stdio transport is implemented; SSE server support is planned for future versions.
MCP servers are packaged as private NPM packages, installed via `npm install`, and configured in a `mcp.config.json` file defining server path, arguments, and name.
POST endpoints at `/api/mcp/tools`, `/api/mcp/functools`, `/api/mcp/tools/call`, `/api/mcp/resources`, `/api/mcp/prompts`, `/api/mcp/all`, and `/api/mcp/agent`.
Yes, the project aims to support nearly all large model invocations through its HTTP API.
Nest Llm Aigent is a forwarding layer; actual tool execution occurs in the connected MCP servers, which it bridges to HTTP requests.
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