What can you do with this server?

This server is an MCP bridge that enables LLMs to browse, search, and manage AI configuration blueprints in a LynxPrompt instance. * Search Blueprints: Query the public blueprint marketplace with optional filters for tags, type (e.g., AGENTS_MD, CLAUDE_MD), and category. * Create Blueprint: Create a new blueprint with a name, content, and type; optionally set visibility (PRIVATE, TEAM, or PUBLIC) and a description. * Update Blueprint: Modify an existing blueprint's name, content, visibility, or description by its ID. * Delete Blueprint: Permanently remove a blueprint by its ID. * Create Hierarchy: Establish a new repository-mapped organizational structure with a name and repository root path, plus an optional description. * Delete Hierarchy: Permanently remove a hierarchy by its ID. * Browse Resources (read-only): Access blueprints, hierarchies, and user info via MCP URIs — lynxprompt://blueprints, lynxprompt://blueprint/{id}, lynxprompt://hierarchies, lynxprompt://hierarchy/{id}, and lynxprompt://user.

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lynxprompt-mcp

by GeiserX

Overview Schema Related Servers Score Discussions

Remote

What you get

Type	What for	MCP URI / Tool id
Resources	Browse blueprints, hierarchies, and user info read-only	`lynxprompt://blueprintslynxprompt://blueprint/{id}lynxprompt://hierarchieslynxprompt://hierarchy/{id}lynxprompt://user`
Tools	Create, update, delete blueprints and manage hierarchies	`search_blueprintscreate_blueprintupdate_blueprintdelete_blueprintcreate_hierarchydelete_hierarchy`

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

Related MCP server: mcp-openapi-schema

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

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

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

0dRelease cycle

3Releases (12mo)

Commit activity

Resources

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