Lynxprompt MCP Server

@GeiserX

代码仓库

基本信息

分类

其他

许可证

GPL-3.0

传输方式

stdio

作者

GeiserX

提交者

Sergio Fernández

关于 Lynxprompt MCP Server

MCP Server for LynxPrompt — browse, search, and manage AI configuration blueprints (AGENTS.md, CLAUDE.md) via MCP

Lynxprompt MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "lynxprompt": {
      "command": "npx",
      "args": [
        "-y",
        "lynxprompt-mcp"
      ],
      "env": {
        "LYNXPROMPT_URL": "https://lynxprompt.com",
        "LYNXPROMPT_TOKEN": "<YOUR_LP_TOKEN>"
      }
    }
  }
}

Lynxprompt MCP Server 工具

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Lynxprompt Mcp?

Lynxprompt Mcp is a small bridge that exposes any LynxPrompt instance as an MCP (Model Context Protocol) server. It allows LLMs and AI agents to browse, search, and manage AI configuration blueprints via resources and tools over a JSON-RPC endpoint.

How to use Lynxprompt Mcp?

Deploy with Docker Compose (drumsergio/lynxprompt-mcp:latest) and set LYNXPROMPT_URL and LYNXPROMPT_TOKEN environment variables. Alternatively, install via npm (npx lynxprompt-mcp) or build locally with Go (go run ./cmd/server). The server listens on 127.0.0.1:8080 by default; switch to stdio transport by setting TRANSPORT=stdio.

Key features of Lynxprompt Mcp

Exposes LynxPrompt blueprints and hierarchies as MCP resources.
Provides tools to search, create, update, and delete blueprints.
Supports creation and deletion of hierarchy nodes.
Runs over HTTP (single endpoint /mcp) or stdio transport.
Configurable via environment variables or .env file.
Deployable with Docker, npm, or local Go build.

Use cases of Lynxprompt Mcp

Allow an LLM to browse available AI configuration blueprints from a LynxPrompt instance.
Let an agent search for specific blueprints and retrieve their full details.
Enable programmatic creation, update, or deletion of blueprints via tool calls.
Manage hierarchy structures (create/delete nodes) from within an LLM workflow.
Integrate blueprints into AI IDEs or custom tools that support the Model Context Protocol.

常见问题

What exactly does Lynxprompt Mcp do?

It acts as a bridge that translates LynxPrompt's API into the Model Context Protocol, letting LLMs read resources like blueprints and hierarchies, and call tools to manage them.

What are the dependencies or runtime requirements?

You need a running LynxPrompt instance with a valid API token (`lp_xxx` format). For deployment, you can use Docker, Node.js (via npm), or Go 1.24+.

Where does data live?

All blueprint and hierarchy data resides on the LynxPrompt instance you connect to; Lynxprompt Mcp only proxies requests and does not store any data locally.

What transports and authentication are supported?

The server supports HTTP (JSON-RPC over `/mcp`) and stdio transports. Authentication uses a Bearer token for HTTP via the `MCP_AUTH_TOKEN` environment variable; the LynxPrompt API token is required for backend calls.

Are there any known limits?

The README does not mention specific limits. The server has been tested with the MCP Inspector and works fully.

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