Model Context Protocol multi-agent coordination kernel, cross-session mesh, and context firewall.
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# ⚡ MCP Agent Orchestrator [](https://www.typescriptlang.org/) [](https://modelcontextprotocol.io/) [](LICENSE) []() An open, extensible **Model Context Protocol (MCP)** server that acts as a scalable, multi-modal **multi-agent coordination engine**. It allows any MCP-compatible client (**Claude Desktop**, **Cursor**, **Antigravity**, **Zed**, **LibreChat**) to delegate complex multi-step programming and research goals to internal teams of specialized subagents — acting as a **context firewall** to conserve client token limits while preventing tool timeouts. --- ## 🌟 Key Features * **🧠 Multi-Modal Orchestration**: 1. **Cross-Session Agent Mesh (`invoke_session`, `send_session_message`, `check_inbox`)**: Spawn independent specialist subagents in isolated sessions with dedicated models, context boundaries, persistent SQLite inboxes, and bidirectional inter-session messaging. 2. **Autonomous Swarm (`start_swarm`)**: Supervisor agent decomposes goals into subtasks, delegates to worker agents, and synthesizes final outputs. 3. **Interactive Toolkit (`spawn_agent`, `send_agent_message`)**: Direct agent management primitives enabling host models to orchestrate custom loops. 4. **Structured Pipelines (`run_pipeline`)**: Deterministic multi-stage DAG workflows passing typed artifacts with human-in-the-loop checkpoints (`approve_checkpoint`). * **🔌 Flexible Inference (Zero API Keys or Cloud APIs)**: * **Zero-Key Local Setup**: Uses your authenticated local **Antigravity (`agy`)** CLI (accessing `gemini-3.8-flash-high`, `claude-sonnet-4-6`, etc.) or **Ollama**. * **Cloud API Setup**: Direct integrations for Google Gemini, Anthropic, OpenAI, or any OpenAI-compatible provider (DeepS…
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