Nest Llm Aigent

Name: Nest Llm Aigent
Author: luis1232023

@luis1232023

代码仓库

关于 Nest Llm Aigent

Stdio Mcp Server 转为 RestFul，轻松部署与 Web 服务集成, mcp gateway

基本信息

分类

AI 与智能体

运行时

node

传输方式

stdio

发布者

luis1232023

配置

暂无标准配置

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代码仓库

工具

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概览

What is Nest Llm Aigent?

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.

How to use Nest Llm Aigent?

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.

Key features of Nest Llm Aigent

Acts as an AI agent aggregating multiple MCP servers
Exposes standardized HTTP RESTful API endpoints
Supports nearly all large language models
MCP servers deployed as private NPM packages
Centralized configuration via mcp.config.json
Returns OpenAI-compatible function call definitions

Use cases of Nest Llm Aigent

Integrate MCP tools into existing NestJS web services
Centrally manage and version control multiple MCP servers
Provide HTTP-based LLM access to non-MCP applications
Unify tool, resource, and prompt retrieval in one service

FAQ from Nest Llm Aigent

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.

How are MCP servers deployed and configured?

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.

What endpoints does Nest Llm Aigent expose?

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.

Does Nest Llm Aigent support all large language models?

Yes, the project aims to support nearly all large model invocations through its HTTP API.

Where does tool execution happen?

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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