Pipelex MCP is a server that lets AI agents discover and run Pipelex pipelines as if they were native tools.
To get started, clone the GitHub repository, install its dependencies, and set up your environment with the required API keys. You can then use the server with any client that supports the Model Context Protocol.
Its key features include letting AI agents find and execute pipelines, providing structured outputs they can understand, and making it easy to add new tools to the server.
Common use cases are integrating AI with automated data workflows, executing complex application processes, and enabling developers to build custom tools for agents.
For frequently asked questions: Its purpose is to effectively bridge AI and structured data processing. Full documentation is available on the official docs site. Contributions via issues or pull requests are welcome on GitHub.