Exposes Azure AI Foundry agents, workflows, and AI Search vector-database capabilities as MCP tools, enabling natural language interaction with agents, semantic search, and index management.
Provides AI agents with 40 tools for structured data storage, querying, web search, URL fetching, scheduled jobs, and execution through the Model Context Protocol.
AI-powered access to OSDU subsurface data through natural language, enabling AI assistants to interact with the OSDU platform via conversational interfaces for search, schema management, records, and compliance.