metorial
Connect any AI model to 1200+ integrations (MCP, CLI, API)
Metorial is an open-source identity and access control layer that connects AI agents to over 1,200 integrations through the Model Context Protocol (MCP). It acts as a unified control plane sitting between agents and external systems, managing authentication (OAuth, API keys, service accounts), role-based access control (RBAC), and audit logging for agent actions. Developers can expose integrations as tools to any agent framework (LangChain, PydanticAI, Vercel AI SDK, OpenAI) using a single API or connection URL, eliminating the need to re-implement auth and integration logic for each project. The platform supports both hosted deployment and self-hosting with Docker, providing SDKs for TypeScript and Python.
Key Features
Use Cases
- 01Connect AI agents to Slack, GitHub, Google Calendar, or SAP with centralized OAuth management
- 02Enable Claude Code, Cursor, or Codex to access enterprise systems while enforcing security policies
- 03Build multi-agent workflows that share authenticated connections across teams and environments
- 04Implement auditable AI automation with full visibility into which agent accessed which system and when
- 05Rapidly prototype agent applications using web search or other integrations without auth setup
- 06Centralize access control for agent development across development, staging, and production environments
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metorial — FAQ
What is Metorial?+
Metorial is an open-source identity and access management platform for AI agents that provides unified authentication, permissions, and observability for 1,200+ integrations via the Model Context Protocol. It acts as a control plane between AI agents and external systems, standardizing how agents interact with APIs and services.
How do I install Metorial in my AI application?+
Install the SDK for your language (npm install metorial for TypeScript or pip install metorial for Python), obtain a free API key from the Metorial platform, then use the SDK to create provider deployments and connect sessions. The SDK exposes integrations as tools that you pass to your AI framework (OpenAI, Anthropic, LangChain, etc.).
Which AI clients and frameworks work with Metorial?+
Metorial supports Vercel AI SDK, OpenAI, Anthropic, Google Gemini, LangChain, LangGraph, PydanticAI, LlamaIndex, AutoGen, CrewAI, Haystack, and any OpenAI-compatible API. It can also be used with MCP-compatible clients like Claude Desktop and Cursor through its platform.
Do I need API keys for integrations?+
It depends on the integration. Metorial Search (web search) requires no additional auth configuration. For services like Slack, GitHub, or Google Calendar, Metorial handles OAuth flows through setup sessions that generate reusable auth configs, or you can provide your own API keys and credentials.
Is Metorial free to use?+
Yes, Metorial offers a free hosted platform at platform.metorial.com. The core Metorial Platform engine is also fully open source under Apache 2.0 license and can be self-hosted on your own infrastructure using Docker.
Can I self-host Metorial?+
Yes, the Metorial Platform is open source and designed for self-hosting with Docker. The stack uses PostgreSQL for data storage, Redis for caching, MongoDB for logs, and runs MCP servers in containerized environments.
How do I install metorial?+
Open the source repository on GitHub and follow its README. metorial is a mcp server — MCP Agents Market links you directly to the official repo.
Is metorial free?+
metorial is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.