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
Basic information
Stdio Mcp Server 转为 RestFul,轻松部署与 Web 服务集成, mcp gateway
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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