Lynxprompt Mcp

by GeiserX

2 stars

317 downloads

Not rated

GitHub

About

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

Details

Author: GeiserX
GitHub stars: 2
Downloads: 317
Categories: Productivity, AI, Knowledge Base, Automation, Other

- 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.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Lynxprompt Mcp

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

<h1 align="center">LynxPrompt-MCP</h1>

<a href="https://codecov.io/gh/GeiserX/lynxprompt-mcp"></a>
<a href="https://www.npmjs.com/package/lynxprompt-mcp"></a>

<a href="https://hub.docker.com/r/drumsergio/lynxprompt-mcp"></a>
<a href="https://github.com/GeiserX/lynxprompt-mcp/stargazers"></a>
<a href="https://github.com/GeiserX/lynxprompt-mcp/blob/main/LICENSE"> License </a>


<a href="https://registry.modelcontextprotocol.io"></a>
<a href="https://glama.ai/mcp/servers/GeiserX/lynxprompt-mcp"> Glama MCP Server </a>
<a href="https://mcpservers.org/servers/geiserx/lynxprompt-mcp"></a>
<a href="https://mcp.so/server/lynxprompt-mcp"></a>
<a href="https://github.com/toolsdk-ai/toolsdk-mcp-registry"></a>
<a href="https://github.com/punkpeye/awesome-mcp-servers#readme"></a>

A tiny bridge that exposes any LynxPrompt instance as an MCP server, enabling LLMs to browse, search, and manage AI configuration blueprints.

---

What you get

| Type | What for | MCP URI / Tool id |
|---------------|------------------------------------------------------------|----------------------------------|
| Resources | Browse blueprints, hierarchies, and user info read-only | lynxprompt://blueprints lynxprompt://blueprint/{id} lynxprompt://hierarchies lynxprompt://hierarchy/{id} lynxprompt://user |
| Tools | Create, update, delete blueprints and manage hierarchies | search_blueprints create_blueprint update_blueprint delete_blueprint create_hierarchy delete_hierarchy |

Everything is exposed over a single JSON-RPC endpoint (/mcp).
LLMs / Agents can: initialize -> readResource -> listTools -> callTool ... and so on.

---

Quick-start (Docker Compose)

services:
  lynxprompt-mcp:
    image: drumsergio/lynxprompt-mcp:latest
    ports:
      - "127.0.0.1:8080:8080"
    environment:
      - LYNXPROMPT_URL=https://lynxprompt.com
      - LYNXPROMPT_TOKEN=lp_xxx

> Security note: The HTTP transport listens on 127.0.0.1:8080 by default. If you need to expose it on a network, place it behind a reverse proxy with authentication.

Install via npm (stdio transport)

npx lynxprompt-mcp

Or install globally:

npm install -g lynxprompt-mcp
lynxprompt-mcp

This downloads the pre-built Go binary from GitHub Releases for your platform and runs it with stdio transport. Requires at least one published release.

Local build

git clone https://github.com/GeiserX/lynxprompt-mcp cd lynxprompt-mcp (optional) create .env from the sample cp .env.example .env && $EDITOR .env

go run ./cmd/server

Configuration

| Variable | Default | Description |
|-------------------|--------------------------|--------------------------------------------------|
| LYNXPROMPT_URL | https://lynxprompt.com | LynxPrompt instance URL (without trailing /) |
| LYNXPROMPT_TOKEN| _(required)_ | API token in lp_xxx format |
| LISTEN_ADDR | 127.0.0.1:8080 | HTTP listen address (Docker sets 127.0.0.1:8080) |
| MCP_AUTH_TOKEN | _(empty)_ | Bearer token for HTTP auth (required if LISTEN_ADDR is not loopback) |
| TRANSPORT | _(empty = HTTP)_ | Set to stdio for stdio transport |

Put them in a .env file (from .env.example) or set them in the environment.

Testing

Tested with Inspector and it is currently fully working. Before making a PR, make sure this MCP server behaves well via this medium.

Example configuration for client LLMs

{
  "schema_version": "v1",
  "name_for_human": "LynxPrompt-MCP",
  "name_for_model": "lynxprompt_mcp",
  "description_for_human": "Browse, search, and manage AI configuration blueprints from LynxPrompt.",
  "description_for_model": "Interact with a LynxPrompt instance that stores AI configuration blueprints. First call initialize, then reuse the returned session id in header \"Mcp-Session-Id\" for every other call. Use readResource to fetch URIs that begin with lynxprompt://. Use listTools to discover available actions and callTool to execute them.",
  "auth": { "type": "bearer", "token": "your-secret-token" },
  "api": {
    "type": "jsonrpc-mcp",
    "url":  "http://localhost:8080/mcp",
    "init_method": "initialize",
    "session_header": "Mcp-Session-Id"
  },
  "logo_url": "https://lynxprompt.com/logo.png",
  "contact_email": "acsdesk@protonmail.com",
  "legal_info_url": "https://github.com/GeiserX/lynxprompt-mcp/blob/main/LICENSE"
}

Credits

LynxPrompt -- AI configuration blueprint management

MCP-GO -- modern MCP implementation

GoReleaser -- painless multi-arch releases

Maintainers

@GeiserX.

Contributing

Feel free to dive in! Open an issue or submit PRs.

LynxPrompt-MCP follows the Contributor Covenant Code of Conduct.

Other MCP Servers by GeiserX

- cashpilot-mcp — Passive income monitoring
- duplicacy-mcp — Backup health monitoring
- genieacs-mcp — TR-069 device management
- pumperly-mcp — Fuel and EV charging prices
- telegram-archive-mcp — Telegram message archive

Related Projects

| Project | Description |
|---------|-------------|
| LynxPrompt | Self-hosted platform for AI IDE/Tools Rules and Commands via WebUI and CLI |
| lynxprompt-vscode | VS Code extension for LynxPrompt AI configuration file management |
| lynxprompt-action | GitHub Action to sync and validate AI IDE configuration files with LynxPrompt |
| n8n-nodes-lynxprompt | n8n community node for LynxPrompt AI configuration blueprints |
| homebrew-lynxprompt | Homebrew tap for LynxPrompt CLI |

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

What you get

Quick-start (Docker Compose)

Install via npm (stdio transport)

Local build

(optional) create .env from the sample

Configuration

Testing

Example configuration for client LLMs

Credits

Maintainers

Contributing

Other MCP Servers by GeiserX

Related Projects

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