agent-control MCP server
🚀 High-performance AI Agent Control Plane, Task Orchestration & Model Context Protocol (MCP) Platform
What agent-control does
Summarised from the project README; check the repository for the latest details.
Features
- ⚡ Asynchronous & High-Performance: Built on FastAPI, Uvicorn, and SQLAlchemy 2.0.
- 🤖 Agent Lifecycle & Heartbeat Leasing: Distributed state machine with capability matching, automatic lease expiration, and dead-agent eviction.
- 🔀 DAG Workflow Engine: Define multi-stage agent graphs with node dependencies, parallel execution, and conditional branches.
- 🔌 Native MCP (Model Context Protocol) Server: Connect directly to Claude Desktop, Antigravity, Cursor, or custom LLM apps via standardized JSON-RPC stdio tools.
- 📊 Real-time Observability Dashboard: Out-of-the-box responsive web dashboard for agent monitoring, task states, crawl runs, and metrics.
- 🕷️ Production Crawl & Ingestion Pipelines: Integrated scrapers (e.g., government talent qualification announcements, enterprise tender data) with built-in deduplication, HTML cleaning, and structured normalization.
Repository: loulanyue/agent-control
Website: https://github.com/loulanyue/agent-control#readme
Stars: ★180
Language: Python
Last updated: 2026-10-14
agent-control-planeai-agentautonomous-agentscrawler-pipelinedag-workflowfastapimcp-servermodel-context-protocoltask-orchestrationworkflow-engine
Website: https://github.com/loulanyue/agent-control#readme
Stars: ★180
Language: Python
Last updated: 2026-10-14
agent-control-planeai-agentautonomous-agentscrawler-pipelinedag-workflowfastapimcp-servermodel-context-protocoltask-orchestrationworkflow-engine
How to install agent-control
No install config was found in this README. See the repository for setup steps, then follow our guides for Claude Desktop, Cursor or VS Code.
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