Enables AI agents to search, retrieve, and summarize content from workplace tools including Google Drive, Notion, Slack, and Confluence through secure Model Context Protocol.
Enables AI assistants to search, retrieve, and manage documents from a Context11 knowledge base through tools like search_context, get_document, and list_folders.
Enables secure enterprise AI agents to access internal tools like GitHub, Gmail, Calendar, file systems, databases, and knowledge bases through the Model Context Protocol, with built-in security, audit, and observability.
A read-only Model Context Protocol server that exposes a semantic knowledge base to AI agents via 27 tools. It enables querying of documents and data integrated from sources like Notion, SharePoint, HubSpot, and Slack.
Provides AI agents with 40 tools for structured data storage, querying, web search, URL fetching, scheduled jobs, and execution through the Model Context Protocol.
Provides AI agents with operational customer context, including typed revenue objects, persistent state, scoped tools, and human-in-the-loop handoffs through MCP, REST, and CLI.