# AgenticFlow as an MCP Learn how to connect AgenticFlow MCP to your AgenticFlow workspace. Connect your AI tools to AgenticFlow using the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/), an open standard that lets AI assistants interact with your AgenticFlow workspace. ## What is AgenticFlow MCP? AgenticFlow MCP is our hosted server that gives AI tools secure access to your AgenticFlow workspace. It's designed to work seamlessly with popular AI assistants like ChatGPT, Cursor, and Claude.

High-level diagram of the MCP data flow, where AgenticFlow hosts both the MCP Server and AgenticFlow's API, and your tools contain MCP clients that connect to the remote MCP server to access our tools.

## Why use AgenticFlow MCP? * **Easy setup** — Connect through simple OAuth, with one-click installation for supported AI tools * **Full workspace access** — AI tools can read and write to your AgenticFlow workflows just like you can * **Optimized for AI** — Built specifically for AI agents with efficient data formatting ## What can you do with AgenticFlow MCP? * **Create workflows** — Generate automation workflows from your project requirements and specifications * **Search and find answers** — Let AI search across all your AgenticFlow workspace content * **Manage agents** — Generate and update AI agents automatically from task descriptions and project status * **Run workflows** — Execute workflows and monitor their status directly through AI assistants * **Data processing** — Transform and process data using AgenticFlow's powerful automation capabilities --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.agenticflow.ai/integrations/agenticflow-mcp.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.