Connect any AI model to 1200+ integrations (MCP, CLI, API)
metorial is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view metorial/metorial --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 24 days ago.
3339 GitHub stars indicate community interest.
2 open issues signal maintenance load.
NOASSERTION license detected.
1 security/trust notes recorded.
Setup difficulty is 3/5.
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<img src="./assets/repo-header.webp" alt="Metorial" width="100%" /> <br /> <h1 align="center">Metorial (YC F25)</h1> <p align="center"> Open-source identity and access layer for AI agents. <br /> Connect agents to real systems with consistent auth, permissions, and observability. </p> > [!TIP] > _Skip the setup and go hosted:_ The fastest, simplest and most reliable way to use [Metorial](https://metorial.com) is to sign up to [our hosted platform](https://platform.metorial.com/). > > ➡️ **[G
3,339
Stars
367
Forks
2
Issues
NOASSERTION
License
Connect any AI model to 1200+ integrations (MCP, CLI, API)
Developers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Keep integration credentials server-side and review the permissions granted to each connected tool.
Similar or complementary options to evaluate include NVIDIA Agent Skills, Elastic Agent Skills, Agent-CI.
Aug 20, 2026