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The Model Context Protocol server for Pipelex

MCP is a protocol that enables AI Agents to run Pipelex pipelines
as native tools in their toolset.

Documentation - Report Bug - Feature Request

# 📑 Table of Contents - [Introduction](#introduction) - [Quick Start](#-quick-start) - [Prerequisites](#prerequisites) - [Installation](#installation) - [Adding New Tools](#-adding-new-tools) - [Known Limitations](#-known-limitations) - [Contributing](#-contributing) - [Support](#-support) - [License](#-license) # Introduction > 👉 Check out our [main repository](https://github.com/Pipelex/pipelex) to learn more about Pipelex! The Model Context Protocol (MCP) is a specialized component of the Pipelex ecosystem that enables AI Agents to interact with Pipelex pipelines as native tools. This protocol bridges the gap between AI agents and the structured, reliable pipeline execution that Pipelex provides. MCP allows AI agents to: - Discover available pipelines - Execute pipelines with specific inputs - Receive structured outputs in a format they can understand and use To learn more about MCP itself, check out the [official MCP documentation](https://docs.anthropic.com/en/docs/agents-and-tools/mcp) from Anthropic. # 🚀 Quick Start ## Prerequisites - Python >=3.11,<3.12 - [uv](https://github.com/astral-sh/uv) package manager ## Installation 1. Clone the repository: ```bash git clone https://github.com/Pipelex/pipelex-mcp.git cd pipelex-mcp ``` 2. Install dependencies: ```bash make install ``` 3. Set up your environment: ```bash cp pipelex_mcp/.env.example pipelex_mcp/.env # Edit pipelex_mcp/.env with your configuration ``` 4. Add your API keys: Configure your API keys in the `.env` file. These will be used by the MCP server to authenticate with various services. # MCP Clients ### Cursor Cursor comes with built-in MCP support. Simply describe the tool you want to use in the chat, and Cursor will automatically invoke it. [Learn more about MCP in Cursor](https://docs.cursor.com/context/model-context-protocol) ### Claude Desktop Claude Desktop uses its own configuration format. Check the MCP documentation for setup details: [Claude Desktop MCP Setup Guide](https://modelcontextprot

#pipelex

📑 Table of Contents