Metorial

Metorial

Metorial is agentic infrastructure that connects AI agents to external tools through MCP. Metorial lets you integrate a tool once and reuse it across clients like Claude, ChatGPT, and Copilot, with more than 1,000 pre-built integrations and production auth, tracing, and per-user isolation handled for you. Its hibernation technology makes every Model Context Protocol server serverless — servers start in under a second and stop when idle — so you pay per request rather than for idle connections. Metorial is open-source at its core and aimed at companies shipping customer-facing agents.

Production credibility: Founded in 2025 by Karim Rahme and Tobias Herber (who previously co-founded the ticketing startup Valicit); Y Combinator Fall 2025 batch. Early backers reported include Y Combinator, Pioneer Fund, Orange Collective, Valia Ventures, and Founder Factory, with a small seed round (figures vary by source). The integration core is open source on GitHub; the platform markets 1,000+ pre-built integrations.

Key Features

• 1,000+ pre-built tool integrations (Salesforce, Slack, Jira, Notion, and more)
• Serverless MCP hosting via hibernation, with sub-second cold starts
• Usage-based, per-request pricing rather than per-connection
• Production auth handling for connected tools
• Tracing and audit logs for every tool call
• Enterprise controls — SSO, RBAC, per-user isolation, and private deployment
• Open-source integration core

Ideal Use Case

AI-native companies building customer-facing agents or internal assistants that need many tool integrations with production auth, audit logs, and per-user isolation — and want MCP servers hosted serverlessly so cost tracks usage rather than idle connections.

How Metorial differentiates

Composio and Klavis also connect agents to many tools; Metorial's distinction is the serverless hosting model. Hibernation spins servers up per request and stops them when idle, so billing is usage-based instead of per-connection — a different cost shape for bursty agent workloads. Paired with an open-source core and enterprise controls, that makes it a fit for teams watching the economics of always-on MCP connections.

FAQ

Q: What is Metorial? A: Metorial is agentic infrastructure that connects AI agents to 1,000+ tools through MCP. It hosts Model Context Protocol servers serverlessly, handles auth and tracing, and is reusable across clients like Claude, ChatGPT, and Copilot.

Q: What does serverless MCP mean here? A: Metorial's hibernation technology starts an MCP server in under a second on demand and stops it when idle, so you are billed per request rather than for an always-on connection.

Q: How is Metorial priced? A: Metorial uses usage-based, per-request pricing with a free way to start, which suits bursty agent workloads better than per-connection billing. Check current pricing for details.

Q: Metorial vs Composio? A: Both connect agents to many tools. Metorial emphasizes serverless MCP hosting with hibernation and usage-based pricing, plus an open-source core and enterprise controls like SSO and RBAC.

Q: Is Metorial open source? A: The integration core is open source on GitHub. The hosted platform, enterprise controls, and managed integrations are the commercial product.

tl;dr

Metorial is serverless MCP hosting and integration infrastructure — connect agents to 1,000+ tools once, reuse across Claude, ChatGPT, and Copilot, with hibernation that starts servers in under a second and bills per request. Y Combinator Fall 2025, open-source core. The usage-based hosting pick versus always-on integration platforms.