Enables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.
Enables AI agents to discover and invoke enterprise tools like web search, document parsing, meeting scheduling, and email through a unified Model Context Protocol server that aggregates and routes across multiple backends.
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.