Developer & AI Agent Ecosystem

MENN Developer Resources

Welcome to the official developer documentation for MENN (Menn Maestro / Abdullah Harun). This hub provides machine-readable specifications, Model Context Protocol (MCP) server endpoints, and direct integration guides for AI agents, developers, and autonomous toolcallers.

1. Model Context Protocol (MCP) Integration

MENN provides a native first-party Model Context Protocol server exposing verified creator profiles, digital tool catalogs, and contact channels natively to Claude, ChatGPT, and custom LLM agents.

MCP Manifest: /.well-known/mcp (JSON: /.well-known/mcp.json)
Streamable HTTP Transport Endpoint: https://mennhq.vercel.app/api/mcp
Supported Tools: get_creator_profile, list_digital_products, get_contact_info, query_agent_guidance

// Connect via Claude Desktop or MCP Client
{
  "mcpServers": {
    "menn": {
      "url": "https://mennhq.vercel.app/api/mcp"
    }
  }
}

2. OpenAPI 3.1.0 Specification

The entire REST and Agent service surface is formally described via OpenAPI 3.1 standards:

JSON Format: https://mennhq.vercel.app/openapi.json
YAML Format: https://mennhq.vercel.app/openapi.yaml

3. LLM Reference Context & Agent Instructions

For autonomous web search engines and LLM crawlers seeking concise or full background context:

LLM Index: /llms.txt
Full System Context: /llms-full.txt
Agent Guidance Manual: /agent-instructions.md
Agent Manifest: /.well-known/agent.json

4. Content Negotiation (Accept-Markdown)

All endpoints support Accept: text/markdown with appropriate Vary: Accept, Accept-Encoding response headers. Agents requesting markdown will receive clean structured text instead of HTML shells.