metorial/metorial-platform

The open source integration platform for agentic AI.
Connect any AI model to thousands of APIs, data sources, and tools with a single function call.
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> ➡️ **Get Started (for free)**
Introduction
The Metorial Platform is an open source integration platform that makes it easy for developers to connect their AI applications to external data sources, APIs, and tools.
It's built to scale to tens or hundreds of thousands of concurrent MCP connections, making it ready for enterprise-grade applications.
If you're interested in the MCP serves that power Metorial, check out the MCP server catalog.
Features
- **✨ One-liner SDKs**: Connect your AI model to any API, data source, or tool with a single function call.
- **🛠️ Powered by MCP**: Metorial is built on the Model Context Protocol, a standard for connecting AI models to external data and tools.
- **🚀 Get started in minutes**: Metorial is designed to be easy to use, with a simple setup process and a unified interface for all your AI integrations.
- **🕊️ Self-hosting**: Metorial's source code is hosted on GitHub and you can self-host it.
- **👩‍💻 Built for developers**: Metorial isn't built for end users, but for developers who need high quality tooling, monitoring, and customization options to build agentic AI applications.
SDKs
Metorial currently provides SDKs for the following languages:
- **JavaScript/TypeScript**
- **Python**
If you want to build a custom integration, check out our API documentation for details on how to use the Metorial API directly.
Motivation
MCP is a powerful standard for connecting AI models to external data and tools, but it focuses on enabling AI clients (like Claude Desktop or Cursor) to connect to tools and data sources.
Metorial builds on MCP but makes it a one-liner for developers to connect their AI apps to any API, data source, or tool.
Thereby we enable developers to create agentic AI applications that can interact with other systems in a reliable, simple, and secure way.
Tech Stack
- **Model Context Protocol (MCP)** - Metorial is powered by the Model Context Protocol, a standard for connecting AI models to external data and tools.
- **Docker** - Metorial uses Docker to run MCP servers in a containerized environment, making it easy to deploy and manage.
- **MCP Containers** - Metorial provides a collection of pre-built MCP servers in Docker containers.
- **Typescript** - Most of Metorial is written in TypeScript.
- **Bun** - The core of Metorial runs on Bun, a fast JavaScript runtime that is compatible with Node.js.
- **Go** - The MCP engine is written in Go, providing a high-performance backend for Metorial.
- **PostgreSQL** - Metorial uses PostgreSQL for data storage.
- **Redis** - Metorial uses Redis for caching and real-time data processing.
- **MongoDB** - Metorial uses MongoDB for storing usage data and logs.
- **React** - The Metorial Dashboard is built with React.
Features
Metorial is built to make it super easy for developers to connect their AI apps to external data and tools. Powered by the Model Context Protocol (MCP), Metorial is built on standards.