Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.
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.
Enables LLMs to search for, add, configure, enable/disable, and aggregate tools from multiple MCP servers, dynamically extending their capabilities at runtime.
Enables natural language interaction with VMware SDDC Manager and vCenter APIs through MCP tools, allowing users to query workload domains, VMs, clusters, and more.
Enables AI coding agents and humans to collaborate on local, evidence-driven planning by exposing MCP tools for plan listing and binding, workflow catalog/run operations, and task tracking with human-reviewed decisions.