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Metorial icon

Metorial

The integration platform for agentic AI. Connect AI agents to external tools and data via MCP. Get enterprise-grade observability and scaling out of the box.

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Cost / License

  • Subscription
  • Proprietary

Platforms

  • Online
  • Software as a Service (SaaS)
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Features

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  1.  Agentic AI
  2.  Model Context Protocol (MCP) Support

 Tags

  • typescript-sdk
  • python-sdk
  • AI

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Metorial information

  • Developed by

    US flagMetorial, Inc
  • Licensing

    Proprietary and Commercial product.
  • Pricing

    Subscription ranging between $35 and $125 per month.
  • Written in

  • Alternatives

    0 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

AI Tools & Services

GitHub repository

  •  106 Stars
  •  2 Forks
  •  1 Open Issues
  •   Updated  
Metorial was added to AlternativeTo by Tobias Herber on and this page was last updated .
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What is Metorial?

Metorial is an open-source developer platform that enables seamless integration of 600+ services into AI agents through the Model Context Protocol (MCP). Built for developers working with LLMs and AI agents, Metorial provides production-ready Python and TypeScript SDKs that reduce integration complexity from weeks to minutes.

The platform offers verified MCP servers, built-in OAuth handling, and three-click deployment capabilities. Developers can integrate services like Gmail, Slack, GitHub, Notion, and hundreds of others without managing authentication flows, API inconsistencies, or infrastructure complexity. Moreover, Metorial supports enterprise-ready integrations like Salesforce, SAP, and QuickBooks, as well as a platform that can handle thousands of MCP connections.

Metorial's open-source architecture allows for self-hosting and customization while providing enterprise-grade reliability. The platform includes an integrations marketplace, comprehensive documentation, and a growing community of developers building next-generation AI agents. Ideal for startups, enterprises, and individual developers looking to rapidly prototype and deploy agent-based applications.

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