Take any internal tool you already have — Airtable base, Postgres database, custom REST API, Google Sheet, Notion workspace, or homegrown CRM — and generate a production-ready MCP server that any AI agent can call. ## What's included - **Tool ingestion** — connect via API key / OAuth / DB URL - **MCP server scaffold** — TypeScript or Python (your choice) - **Generated tool definitions** — properly typed inputs/outputs per endpoint - **Tests** — happy path + error cases per generated tool - **Dockerfile** + deploy templates for Docker Compose, Cloudflare Workers, AWS Lambda, ClawHQ containers - **Rate limiting** + retry logic baked in - **Auth** — API key / Bearer / OAuth-passthrough patterns supported - **README + examples** with sample Claude Code + ClawHQ usage ## Limitations - **Not a code editor** — generates the scaffold; you (or your team) iterate from there - **Tool quality depends on source API quality** — a poorly-documented internal API generates an awkward MCP server - **Doesn't deploy automatically** — produces the deploy template; you run `docker compose up` (or equivalent) - **OAuth flows require manual configuration** of your OAuth provider - **Single-source-per-server** — combining multiple internal tools into one MCP server is a separate pattern ## Best fit Engineering teams with internal tools they want agents to use — but who don't want to hand-write MCP server boilerplate. Especially valuable for YC-stage startups building agent-first products (per YC RFS Summer 2026 thesis #12, "Software for Agents") who need their internal stack agent-accessible fast.
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