Enables AI agents to securely access and act on CRM, order, support, and automation systems through the Model Context Protocol, with authentication, authorization, audit logging, and guardrails.
Enables AI agents to securely interact with local files, live internet search, databases, and development tools through the Model Context Protocol, turning them into autonomous production-ready assistants.
Enables AI agents to search, retrieve, and summarize content from workplace tools including Google Drive, Notion, Slack, and Confluence through secure Model Context Protocol.
An open-source implementation of the Model Context Protocol (MCP) that bridges AI agents with enterprise systems, enabling secure access to real-world data and capabilities.
A secure, multi-tenant Model Context Protocol server that gives AI clients controlled access to enterprise knowledge bases, SQL databases, REST APIs, files, and GitHub.
Enables AI agents to access internal systems without public APIs as typed, governed MCP tools, with human-approved writes and fail-closed contract updates.