OpenFGA MCP

what is OpenFGA MCP? OpenFGA MCP is an experimental Model Context Protocol (MCP) server that allows Large Language Models (LLMs) to read, search, and manipulate OpenFGA stores programmatically, enabling advanced authorization capabilities for AI applications. how to use OpenFGA MCP? To use OpenFGA MCP, install it via pip or from source, then run the server and connect your LLM application to the MCP server endpoint. key features of OpenFGA MCP? Programmatic access to OpenFGA stores via LLMs Dynamic access control based on natural language Policy management through conversational interfaces Explainable authorization and policy debugging use cases of OpenFGA MCP? Dynamic Access Control: LLMs interpret natural language to determine permissions based on context. Policy Management: Create or adjust authorization policies through conversational interfaces. Explainable Authorization: Provide clear justifications for access decisions. Policy Debugging: Diagnose permissions issues conversationally. Secure Collaboration: Grant temporary access with precise scope. FAQ from OpenFGA MCP? What are the requirements to run OpenFGA MCP? You need Python 3.10+ and OpenFGA installed. Is OpenFGA MCP compatible with other clients? Yes, it is compatible with various MCP clients like Cursor, Windsurf, and Claude Desktop. What license does OpenFGA MCP use? OpenFGA MCP is licensed under the Apache License 2.0.

As an MCP (Model Context Protocol) server, OpenFGA MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use OpenFGA MCP, install it via pip or from source, then run the server and connect your LLM application to the MCP server endpoint. key features of OpenFGA MCP? Programmatic access to OpenFGA stores via LLMs Dynamic access control based on natural language Policy management through conversational interfaces Explainable authorization and policy debugging use cases of OpenFGA MCP? Dynamic Access Control: LLMs interpret natural language to determine permissions based on context. Policy Management: Create or adjust authorization policies through conversational interfaces. Explainable Authorization: Provide clear justifications for access decisions. Policy Debugging: Diagnose permissions issues conversationally. Secure Collaboration: Grant temporary access with precise scope. FAQ from OpenFGA MCP? What are the requirements to run OpenFGA MCP? You need Python 3.10+ and OpenFGA installed. Is OpenFGA MCP compatible with other clients? Yes, it is compatible with various MCP clients like Cursor, Windsurf, and Claude Desktop. What license does OpenFGA MCP use? OpenFGA MCP is licensed under the Apache License 2.0.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.