FastMCP server exposing ResQ platform capabilities to AI clients
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# ResQ MCP: Disaster Response Intelligence for AI [](https://github.com/resq-software/pypi/actions) [](https://pypi.org/project/resq-mcp/) [](https://hub.docker.com/r/resqsoftware/mcp) [](https://github.com/resq-software/pypi/pkgs/container/mcp) [](./LICENSE) A production-ready Model Context Protocol (MCP) server that connects AI agents to the ResQ platform's robotics, physics simulations, and disaster telemetry. ### Key Features - **Drone Fleet Command** — Real-time telemetry, sector scanning, and autonomous swarm deployment via the Hybrid Coordination Engine (HCE). - **Predictive Intelligence** — Probabilistic disaster forecasting and sector-level vulnerability mapping (PDIE). - **Digital Twin Simulations** — Physics-based RL optimization strategies for incident response (DTSOP). - **Safe-Mode Execution** — Built-in protection prevents destructive platform mutations by default. ### Requirements - Python 3.11 or newer - VS Code, Cursor, Claude Desktop, or any other MCP client --- ## Getting Started Install the ResQ MCP server with your client. The **standard config** works in most tools: ```json { "mcpServers": { "resq": { "command": "uvx", "args": ["resq-mcp"], "env": { "RESQ_SAFE_MODE": "true" } } } } ``` <details> <summary>VS Code</summary> A pre-configured [`.vscode/mcp.json`](.vscode/mcp.json) is included in this repo — just open the project and the server is available. Or install manually. Add to your user or workspace `mcp.json`: ```json { "servers": …
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