An MCP server that turns independent AI agents into a coordinated engineering team with shared task board, context, review loop, and enforced plan-implement-review-iterate workflow.
MCP server that provides AI agents with persistent memory, cross-agent sharing, and context management, enabling them to remember conversations, track complex tasks, and evolve skills across tools.
TeamMCP is an MCP-native collaboration server that enables AI agents and humans to communicate through shared channels, direct messages, and integrated task management. It provides a persistent layer for real-time collaboration with full-text search and a centralized web dashboard.
An MCP server that lets agents and humans monitor and control long-running processes, reducing copy-pasting between AI tools and enabling multiple agents to interact with the same process outputs.