Workspace MCP & Agentic AI
Your workspace is now an AI-native operating surface. Through the Model Context Protocol (MCP), AI agents running inside Cursor, Claude Desktop, Antigravity, Gemini, VS Code, Windsurf, or Copilot can directly query tasks, assign work, check team capacity, and manage project stages without ever leaving the code editor. Every agent operation is governed by hierarchical team boundaries, zero-leak privacy enforcement, and enterprise-grade security.
- Operate your entire workspace from any MCP-compatible AI IDE: query tasks, manage assignments, check capacity, and progress workflow stages
- StreamableHTTP & Realtime SSE Dual Transport: Native JSON-RPC POST for cloud agents (Google Gemini Enterprise Connected Apps, ChatGPT) alongside persistent SSE for desktop AI IDEs (Claude Desktop, Cursor, Antigravity, Windsurf)
- Public OAuth 2.0 & RFC 8414 / RFC 9728 Auto-Discovery: Built-in Identity Provider with 1-click browser consent (/mcp-consent), PKCE S256, and dynamic discovery metadata without manual endpoint configuration
- High-Concurrency C10K Engine: Non-blocking SSE broadcast architecture supporting 10,000+ persistent agent connections simultaneously
- Team-aware agents that respect organizational hierarchy and prevent cross-boundary or hallucinated assignments
- Zero-leak privacy where agents see only public names and avatars, never employee emails or sensitive identifiers
- Production-safe error handling with no stack traces, query internals, or database schemas exposed to agent responses
Model Context Protocol (MCP) Server Endpoint
Connect in Cursor, Claude Desktop, Antigravity, VS Code, or Windsurf
Agentic Workflows & Case Studies
Real-world operations across engineering, CA firms, and support