infranode

street1983nk/infranode
2 starsApache-2.0Community

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

street1983nk/infranode MCP server](https://glama.ai/mcp/servers/street1983nk/infranode/badges/score.svg)](https://glama.ai/mcp/servers/street1983nk/infranode) 🐍 ☁️ - Keyless remote MCP server for German public infrastructure open data: weather, air...

README.md

InfraNode

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The open-data REST API for Germany: a keyless HTTP API for German public-infrastructure open data, also available as an MCP server.

German cities publish a lot of open data, but every source has its own format, fields and quirks, and several need portal registration. InfraNode normalizes ~20 categories, weather (DWD), air quality (UBA), public transit (incl. realtime departures), traffic, electricity price (SMARD), land values (BORIS), parking, charging, water levels, demographics, energy and more, for 84+ German cities behind one interface. No API key, no account. Every response uses one canonical { data, meta } envelope with per-record license and attribution. The same data is also exposed as an MCP server (48 read-only tools) for AI agents. Start with the one-call get_city_overview: it returns a catalog of every data type available for a city plus a live highlights snapshot, so agents discover the full breadth, not just weather. InfraNode is actively growing, with more data types and cities added regularly.

Sources include the Deutscher Wetterdienst (DWD), Umweltbundesamt (UBA), Mobilithek/DELFI, GovData, OpenStreetMap, Bundesnetzagentur, KBA, DIVI and more.

How it works

flowchart LR
    SRC["German open-data sources<br/>DWD, UBA, SMARD, BORIS,<br/>Mobilithek, GovData, ..."] --> CORE["InfraNode<br/>normalize, license-gate, cache"]
    CORE --> API["REST API<br/>infranode.dev/api/v1"]
    CORE --> MCP["MCP server<br/>mcp.infranode.dev, 48 tools"]
    API --> APPS["Your apps &amp; dashboards"]
    MCP --> AGENTS["AI agents (Claude &amp; co.)"]

If InfraNode saves you a data integration, a star helps other developers find it.

Quickstart

Base URL https://infranode.dev/api/v1. No key, no account, just call it:

curl https://infranode.dev/api/v1/cities/koeln/weather
{
  "data": {
    "city_slug": "koeln",
    "observed_at": "2026-06-18T13:00:00Z",
    "source": "dwd",
    "attribution": { "text": "Datenbasis: Deutscher Wetterdienst", "modified": true },
    "payload": { "kind": "weather", "temperature_c": 30.4, "humidity": 43.0, "station_id": "02667" }
  },
  "meta": { "source_status": "ok", "cache_status": "hit", "correlation_id": "..." }
}

Every response follows the same { data, meta } envelope: each record carries its attribution (license + source), and meta.source_status tells you whether the upstream source delivered data, so a dead source degrades gracefully instead of failing the call.

Tip: call /api/v1/cities first to discover valid city slugs (e.g. koeln, berlin, hamburg), then call any city-scoped endpoint.

![Run in Postman](https://god.gw.postman.com/run-collection/55901679-26601800-bf9d-4ddd-8413-5f273f18be4d)

The full interactive reference and per-city coverage live at infranode.dev. The InfraNode API on the Postman API Network mirrors every endpoint with real example responses, so you can try the InfraNode API Postman collection in the browser without an API key.

Data (84+ cities, 45 endpoints)

Every category below is both a REST endpoint under /api/v1/cities/{slug}/... and an MCP tool of the same name.

| Group | Endpoints / tools | |-------|-------------------| | Discovery | list_cities, sources, compare (one resource across many cities) | | Weather & environment | weather, weather_warnings, air_quality, air_quality_live, pollen_uv, water_level, flood | | Mobility | transit, transit_departures, stations (catalog), station_board_departures/station_board_arrivals (any station by EVA, incl. local trains + disruptions), station_departures, station_arrivals, traffic, road_events, webcams, charging, parking (live occupancy), sharing, fuel_prices | | City & people | get_city, geo, demographics, indicators, unemployment, tourism, construction, accidents, health, icu_live, holidays, election, events, pois | | Economy & real estate | land_values, tax_rates (trade/property tax multipliers per municipality), business_registrations (founding dynamics per district) | | Energy & vehicles | power_load, power_price, energy, vehicle_registrations |

How it behaves

  • Keyless & read-only. No credentials, no writes, no user accounts.
  • Canonical envelope. { data, meta } with per-source status and attribution.
  • Graceful degradation. A failing upstream returns source_status, not an error.
  • Safe by design. SSRF and injection gates validate every request; inputs are checked against fixed allowlists.

See SECURITY.md for the security model.

Use it as an MCP server

The same API is exposed as a remote MCP server, so AI agents can call all 45 endpoints as tools. One line with Claude Code:

claude mcp add --transport http infranode https://mcp.infranode.dev/mcp

Any other MCP client, point it at the remote endpoint (Streamable HTTP):

{
  "mcpServers": {
    "infranode": { "url": "https://mcp.infranode.dev/mcp" }
  }
}
  • Cursor / Windsurf: add the block above to ~/.cursor/mcp.json (or the app's MCP settings).
  • VS Code: code --add-mcp '{"name":"infranode","url":"https://mcp.infranode.dev/mcp"}'
  • Claude Desktop: add the same mcpServers block to your claude_desktop_config.json.
  • ChatGPT: add a connector with the URL https://mcp.infranode.dev/mcp.

All tools are annotated readOnlyHint: true / destructiveHint: false / idempotentHint: true, so MCP clients can safely auto-allow them. The MCP layer also ships ready-made prompts (city_briefing, compare_air_quality, commute_check) and resources (infranode://cities, infranode://sources). Full install guide, the complete tool manifest with example outputs, the permission model and an example transcript are in docs/mcp-install.md. The registry manifest is server.json.

Self-host (optional)

You don't need to, the hosted endpoint above is the fastest path. But the code is open. Run the API stack locally with Docker (Compose v2):

cp .env.example .env          # example config, contains NO real secrets
docker compose -f deploy/docker-compose.yml up
curl http://localhost/api/v1/health   # -> {"status":"ok","version":"1.0.0","redis":true}

To run the MCP server itself locally over stdio (against the public API):

uv sync --group mcp
INFRANODE_MCP_API_BASE=https://infranode.dev/api/v1 uv run python -m infranode.mcp.server

All settings use the INFRANODE_ env prefix (see .env.example); each data source is toggled by its own INFRANODE_ENABLE_* flag. Real secrets are never committed, only .env.example is versioned and CI runs a gitleaks scan.

License: code and data are separate

  • Code: Apache-2.0 (see LICENSE).
  • Data: the open data served through InfraNode keeps the licenses of its

upstream sources (e.g. ODbL for OpenStreetMap, DL-DE-BY for GovData, attribution for DWD). These data licenses and attribution are tracked separately in DATA-LICENSES.md. The Apache-2.0 license covers only the API source code, not the passed-through data.

Contributing

Contributions are welcome. Setup, gate commands and the secret rule are in CONTRIBUTING.md. To add a new data source, start with the declarative source registry in src/infranode/registry/source_specs.py (one SourceSpec entry per upstream); CONTRIBUTING.md has the full checklist.

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