GeiserX/lynxprompt-mcp

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🏎️ ☁️ 🍎 🪟 🐧 - Go-based MCP server for LynxPrompt prompt management. Create, search, and organize AI prompts and AGENTS.md/CLAUDE.md configuration files. Docker image available.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "geiserx-lynxprompt-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "geiserx-lynxprompt-mcp"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

LynxPrompt MCP banner

LynxPrompt-MCP

codecov npm Go Docker Pulls GitHub Stars License

Official MCP Registry Glama MCP Server MCPServers.org mcp.so ToolSDK Registry listed on awesome-mcp-servers

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

TypeWhat forMCP URI / Tool id
ResourcesBrowse blueprints, hierarchies, and user info read-onlylynxprompt://blueprints
lynxprompt://blueprint/{id}
lynxprompt://hierarchies
lynxprompt://hierarchy/{id}
lynxprompt://user
ToolsCreate, update, delete blueprints and manage hierarchiessearch_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

VariableDefaultDescription
LYNXPROMPT_URLhttps://lynxprompt.comLynxPrompt instance URL (without trailing /)
LYNXPROMPT_TOKEN(required)API token in lp_xxx format
LISTEN_ADDR127.0.0.1:8080HTTP 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

Related Projects

ProjectDescription
LynxPromptSelf-hosted platform for AI IDE/Tools Rules and Commands via WebUI and CLI
lynxprompt-vscodeVS Code extension for LynxPrompt AI configuration file management
lynxprompt-actionGitHub Action to sync and validate AI IDE configuration files with LynxPrompt
n8n-nodes-lynxpromptn8n community node for LynxPrompt AI configuration blueprints
homebrew-lynxpromptHomebrew tap for LynxPrompt CLI

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Last checked: 7/29/2026, 10:18:11 AM

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