Enables MCP-compatible AI clients to invoke CLI-driven agent tools over Streamable HTTP, including shell execution, file operations, patching, image viewing, web search, and nested agent tasks, with permission modes and real-time progress streaming.
Enables MCP-compatible clients to interact with AnythingLLM, providing tools for workspace management, chat and thread operations, document operations, vector search, and system inspection.
Exposes provider-specific tools and relays HTTP requests to configured providers like Supabase, Vercel, and Context7, enabling interaction with multiple external APIs through a unified MCP interface with configurable authentication and access controls.
Enables remote MCP clients to securely access AgentMemory tools like memory_recall, memory_smart_search, and memory_save through OAuth 2.1 and Streamable HTTP, while keeping the AgentMemory backend secret private.