Enables agents to connect to remote MCP servers once, access their tools through a compact MCP endpoint, pair a CLI inside sandboxes, and create watches that turn command or tool output into pollable structured events.
Enables MCP-compatible clients to interact with AnythingLLM, providing tools for workspace management, chat and thread operations, document operations, vector search, and system inspection.
Enables MCP-compatible AI agents to execute typed live-app actions over WebSocket, allowing agents to directly interact with real application state without browser automation or scraping.
Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.