Exposes DamonClaw cluster management functionalities as tools for AI clients.
Sponsored
The DamonClaw MCP Server provides a standardized interface for AI clients to interact with and manage DamonClaw clusters. By exposing core cluster functionalities as discrete tools via the Model Context Protocol (MCP), it enables AI agents to monitor cluster health, manage tasks (create, list, filter), analyze agent workloads, and generate summary reports. This allows for seamless integration of operational control into AI-driven workflows, facilitating intelligent automation and oversight of DamonClaw environments.
Key Features
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02Monitor workload breakdown per agent, categorized by task status
03Standard stdio transport for easy integration with MCP clients
04Check overall cluster health and connectivity of agent nodes
05Generate daily standup reports grouped by individual agents
06List, filter, and create new tasks with specified details
Use Cases
01Enabling AI assistants to quickly generate status reports and check agent workloads for operational awareness.
02Automating task creation, assignment, and monitoring within a DamonClaw cluster via AI agents.
03Integrating DamonClaw cluster operations into AI-driven workflows using MCP clients like Claude Desktop or Cursor.
