ClimaSafe · MCP server

ClimaSafe as a
Model Context Protocol server.

The ClimaSafe risk engine — prediction, personal profiles, routines and risk charts — exposed as an MCP server so any AI assistant can ask about heat and cold risk directly from its own interface.

Telegram bot github.com/ANFAIA/ClimaSafe ← back to project
01
what it is

An MCP for heat and cold risk

The ClimaSafe MCP server exposes the same prediction engine as the web and the Telegram bot, through the Model Context Protocol. An assistant configured with it can fetch personal cardiovascular risk predictions, manage user profiles and routines, and render the hourly risk chart, all without leaving the chat.
Tools
risk prediction · risk chart · profiles · routines
Access
read-only by default · writes need a token
Transport
stdio (local) · SSE (remote)
02
connect

Add it to Claude Desktop, opencode or Cline

Add the server to your opencode.json, .mcp.json or equivalent MCP configuration. It runs with uv, so the project environment is resolved automatically: 
{
  "mcpServers": {
    "climasafe": {
      "command": "uv",
      "args": ["run", "python", "-m", "agents.tools.prediction_mcp_tool", "--stdio"]
    }
  }
}
Run it from the root of the ClimaSafe repository. On Claude Desktop, paste the same block into claude_desktop_config.json under mcpServers.
03
permissions

Read-only by default, writes behind a token

Sin token, solo lectura. El servidor arranca en modo solo lectura cuando no hay token de escritura. Las operaciones de escritura — crear o borrar perfiles, gestionar rutinas, configurar alertas diarias — requieren CLIMASAFE_MCP_WRITE_TOKEN en el entorno. Las predicciones y gráficas de riesgo funcionan sin él.
Source, tools and the full component map live in the repository: github.com/ANFAIA/ClimaSafe — see documentacion/componentes.md for how the MCP server fits into the system.