The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Install
$
git clone https://github.com/metorial/metorial-platformInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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.
[!TIP] Skip the setup and go hosted: The fasted, simplest and most reliable way to use Metorial is to sign up to our hosted platform.
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:
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
Similar plugs
Reverse engineer anything with agents, from app behavior down to native binaries.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)