TFM MCP Server

Este proyecto implementa un **sistema completo de análisis y predicción del consumo energético doméstico** utilizando técnicas de machine learning y

Local serverstdioPython

What is the TFM MCP server?

Este proyecto implementa un sistema completo de análisis y predicción del consumo energético doméstico utilizando técnicas de machine learning y explicabilidad de modelos (SHAP). El sistema permite realizar predicciones precisas. Exposed over MCP by the tfm mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

Configuration

You will need one environment variable: ESIOS_API_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by Davad122; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against TFM's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the tfm mcp server does with a few real requests.

How to install the TFM MCP server

{
  "mcpServers": {
    "mcp-david-TFM": {
      "command": "uv",
      "args": [
        "--directory",
        "RUTA_DEL_PROYECTO",
        "run",
        "-m",
        "davidElectric"
      ],
      "env": {
        "ESIOS_API_TOKEN": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ESIOS_API_TOKENCredential the server authenticates with.Yes

Frequently asked questions

It connects TFM to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with TFM directly.