An experimental Model Context Protocol server that enables Large Language Models to read, search, and manipulate OpenFGA authorization stores, unlocking fine-grained access control for agentic AI and natural language interactions.
Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.
A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API.
Features
Retrieve drug label information by brand name
Retrieve drug information by generic (active ingredient) name
Get all brand versions of a generic drug
Get adverse event (side effect) reports for a drug