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Metorial

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Open-source control plane that gives AI agents secure, audited access to external systems.

Autonomous AgentsAgent Frameworks 3.3kOpen source
View on GitHub
Updated 2026-06-15
Metorial GitHub repository

What is Metorial?

Metorial acts as a central control plane that sits between AI agents and real-world tools. It standardizes authentication flows, applies role-based permissions, and records every action with full traceability.

Developers connect agents through a single API or connection URL while the platform handles OAuth, API keys, and token management. Security teams gain built-in RBAC, SAML SSO, and detailed audit logs without writing custom integration code.

The project is fully open source and self-hostable, making it suitable for organizations that need to run their own instance or integrate with existing identity systems.

Capabilities

link ai agents to 600+ tools
unified mcp/oauth interface
built-in scaling
monitoring support

What you can build with Metorial

Secure SaaS connections

Link agents to productivity and enterprise tools while keeping credentials and permissions centrally managed.

Compliance and auditing

Track exactly which agent performed actions and which credentials were used for regulatory or internal reviews.

Team-wide reuse

Share approved integrations across multiple projects and environments without duplicating auth logic.

Install Metorial

Install
npm install metorial
Quick start
npm install metorial @metorial/ai-sdk @ai-sdk/anthropic ai
  1. 1Sign up for an API key at platform.metorial.com or self-host the open-source platform.
  2. 2Install the SDK for your language using npm or pip.
  3. 3Create a provider deployment pointing to an integration such as Metorial Search.
  4. 4Initialize a Metorial client and establish a session with your chosen agent framework.
  5. 5Expose the connection as tools and begin calling external systems from your agent.

Works with

MCPOAuth

Metorial: pros & cons

Pros

  • +Consistent auth and permission model across many integrations
  • +Built-in audit logging and traceability for agent actions
  • +Open-source core that can be self-hosted
  • +SDKs that work with popular agent frameworks

Cons

  • Requires initial setup of deployments and connections
  • Self-hosting adds operational overhead
  • Feature set depends on available MCP servers and integrations
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Frequently asked questions

The open-source platform can be self-hosted at no cost, while a hosted option is also available.

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