Enables AI assistants to securely search and list internal company documents via MCP tools, so they can answer employee questions based on current internal documentation.
Exposes standard MCP tools for secure calculation, knowledge-base retrieval, document statistics, and sensitive operations like email, export, and deletion with human-in-the-loop approval.
Enables natural language interaction with enterprise tools including file, database, GitHub, Slack, browser, calendar, email, vector search, and Python calculation through OpenAI and MCP Client.
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.