MCP server to run Pipelex pipelines
Overview
What is Pipelex MCP?
Pipelex MCP (Model Context Protocol) is a server designed to run Pipelex pipelines, enabling AI agents to utilize these pipelines as native tools within their toolset.
How to use Pipelex MCP?
To use Pipelex MCP, clone the repository from GitHub, install the necessary dependencies, and configure your environment with API keys. You can then interact with the MCP server through various clients that support the protocol.
Key features of Pipelex MCP?
- Enables AI agents to discover and execute Pipelex pipelines.
- Provides structured outputs that AI agents can understand.
- Supports adding new tools easily to the MCP server.
Use cases of Pipelex MCP?
- Integrating AI agents with automated data processing pipelines.
- Facilitating the execution of complex workflows in AI applications.
- Allowing developers to create and manage custom tools for AI agents.
FAQ from Pipelex MCP?
- What is the purpose of Pipelex MCP?
Pipelex MCP allows AI agents to run and manage pipelines effectively, bridging the gap between AI and structured data processing.
- Is there documentation available?
Yes! Comprehensive documentation is available on the official documentation page.
- How can I contribute to the project?
Contributions are welcome! You can report issues or submit pull requests on the GitHub repository.