Composio
Managed integrations and MCP gateway that gives AI agents authenticated tool access.
Serverless MCP hosting connecting AI to 1,000+ integrations
Metorial is an open-source, serverless MCP hosting platform connecting AI agents to 1,000+ integrations with auth, tracing, session recording, and a zero-config magic MCP.
Metorial makes it easy for developers to connect AI applications to external data sources, APIs, and tools via the Model Context Protocol. It hosts MCP servers serverlessly, with servers that start in under a second and stop when idle, so teams pay per request rather than for idle connections, and it handles authentication and tracing across clients like Claude, ChatGPT, and Copilot. The platform includes an embedded MCP Explorer so developers can test and debug any MCP server directly in the dashboard before writing code, and it records every MCP session for review, with detailed error reports for quick fixes. Its MCP engine is written in Go for performance, and because Metorial is open source, teams can self-host it or use the managed platform. Metorial connects AI agents to well over 1,000 integrations and offers SDKs plus a zero-config magic MCP for vibe coding. Founded in 2025 by Karim Rahme and Tobias Herber and part of Y Combinator's Fall 2025 batch, it targets developers who want fast, observable, low-friction MCP integrations across many tools.
Metorial is an open-source, serverless MCP hosting platform connecting AI agents to 1,000+ integrations with auth, tracing, and session recording, from a YC F25 startup.
Metorial is an integration platform company founded in 2025 by Karim Rahme and Tobias Herber, and part of Y Combinator's Fall 2025 batch. It focuses on making MCP-based tool connectivity fast and low-friction for AI developers.
The company offers an open-source platform plus a managed serverless service, positioning itself in the emerging MCP infrastructure market as an engine powering large numbers of MCP connections.
Metorial hosts MCP servers serverlessly with sub-second cold starts and per-request billing, handles authentication and tracing, and records every session for debugging with detailed error reports. Its MCP engine is written in Go.
It connects agents to more than 1,000 integrations, provides an embedded MCP Explorer for testing without leaving the dashboard, and offers SDKs plus a zero-config magic MCP aimed at rapid, low-setup development.
Metorial targets AI developers and teams building agents that need reliable, observable connectivity to many external tools and APIs via MCP.
Developers integrating tools into AI agents.
Engineering leads adopting MCP infrastructure.
AI developer communities and MCP early adopters.
Developer teams building AI agents that require fast, observable, serverless connectivity to a large catalog of external tools through MCP.
Metorial is part of Y Combinator's Fall 2025 batch; specific funding amounts should be verified with the vendor.
It hosts MCP servers serverlessly and connects AI agents to over 1,000 tools and integrations.
Yes, it is open source and can be self-hosted or used as a managed platform.
Servers start in under a second and stop when idle, so you pay per request rather than for idle connections.
Yes, every MCP session is recorded and reviewable in the dashboard, with detailed error reports.
Karim Rahme and Tobias Herber founded it in 2025; it is part of Y Combinator's Fall 2025 batch.
Side-by-side pages for pricing, features, and best-fit use cases.
Managed integrations and MCP gateway that gives AI agents authenticated tool access.
Expose 30,000+ Zapier actions across 8,000+ apps to your AI agent via MCP.
Embeddable managed auth and MCP servers exposing 10,000+ tools across 3,000+ APIs.
The fast, Pythonic way to build MCP servers and clients, plus optional cloud hosting.