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Lynxprompt Mcp

geiserx/lynxprompt-mcp
1authSTDIOregistry active
Summary

Connects Claude to any LynxPrompt instance for managing AI configuration blueprints. You get read-only resources for browsing blueprints and hierarchies, plus tools for search, create, update, and delete operations. Runs as either a local stdio server (via npx) or HTTP service (Docker). The HTTP mode requires bearer auth if exposed beyond localhost. Useful when you're maintaining prompt libraries or AI IDE configs across projects and want Claude to search, retrieve, or modify them without context-switching to a web UI. Built with mcp-go and includes Inspector-tested JSON-RPC endpoints.

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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

  • 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

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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Configuration

LYNXPROMPT_URL*

LynxPrompt instance URL (e.g. https://lynxprompt.com)

LYNXPROMPT_TOKEN*secret

LynxPrompt API token (lp_xxx format)

Categories
Search & Web Crawling
Registryactive
Packagelynxprompt-mcp
TransportSTDIO
AuthRequired
UpdatedApr 3, 2026
View on GitHub

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