Connect any AI model to 1200+ integrations (MCP, CLI, API)
Connect any AI model to 1200+ integrations (MCP, CLI, API)
Connect agents to real systems with consistent auth, permissions, and observability.
Agents are being connected to production systems, but without a consistent identity and access layer around them: limited access control, no auditing, and no standard access restrictions. Metorial solves that.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The server publishes 12 tools. What each one is for:
Customizable — Metorial is highly customizable, allowing you to configure your integrations to fit your needsMulti — instance support**: Create multiple instances of your Metorial Projects to test different configurations, environments or versions of yourProvider — TypeScript adapterOpenAI — @metorial/openaiAnthropic — @metorial/anthropicMistral — @metorial/mistralDeepSeek — @metorial/deepseekTogetherAI — @metorial/togetheraiXAI — @metorial/xaiLangChain — @metorial/langchainPydanticAI — -TypeScript — The TypeScript tool exposed by this serverConfiguration is passed through the environment: METORIAL_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
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{
"mcpServers": {
"containers": {
"command": "npx",
"args": ["-y", "metorial"],
"env": {
"METORIAL_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| METORIAL_API_KEY | Credential the server authenticates with. | Yes |
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