Enables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.
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.
Enables agent runtimes, IDEs, and local AI tools to access and manage MemoryOS tenant memory, domain schemas, and cross-agent universal memory through Model Context Protocol tools.