Show HN: Metorial (YC F25) – Vercel for MCP (github.com)

Metorial (YC F25) launched as an integration platform that aims to be “Vercel for MCP”: a developer-first way to connect agentic AI models to thousands of APIs, data sources and tools with a single function call. Built on the Model Context Protocol (MCP), Metorial abstracts MCP complexities into one-line SDK calls, a unified API, and a dashboarded workflow so teams can rapidly wire models into external systems, test integrations in an embedded MCP Explorer, and inspect recorded sessions with automated error reports. It’s open source (FSL-1.1) and self-hostable, explicitly targeted at developers building agentic applications rather than end users. Technically, Metorial runs MCP servers in Docker containers and ships a catalog of 5,000+ prebuilt MCP servers; the core stack uses Bun and TypeScript for the frontend and orchestration, a Go MCP engine, PostgreSQL for storage, Redis for caching/real-time work, MongoDB for usage/logs, and a React dashboard. It provides robust SDKs (JS/TS, Python), full API access, multi-instance support and detailed monitoring—features that lower the integration, observability and deployment burden for agent developers. The platform standardizes model-to-tool connectivity, accelerating reliable, secure agentic workflows while allowing teams to self-host or customize integrations end-to-end.