Skip to main content

MCP server for Studio Bereikbaar OGC API — Dutch mobility data (ODIN, NRM, CBS boundaries, accessibility maps)

Project description

SB OGC MCP — Studio Bereikbaar Mobility Data for Claude

MCP server that gives Claude access to Dutch mobility data via Studio Bereikbaar's OGC API.

What you get

13 tools for Claude Desktop:

Tool What it does
list_collections List 15 data collections (boundaries, NRM networks, demographics)
describe_collection Get schema/properties of a collection
list_processes List 7 analysis processes
get_features Fetch GeoJSON features with filters
search_boundaries Find gemeente/wijk/buurt/pc4 by name
run_odin_query ODIN travel survey analysis (20 years, modal split, trends)
run_odin_compare Compare two locations side-by-side
run_modal_split Generate modal split chart (returns PNG image)
run_odin_spider Origin-destination desire lines (GeoJSON)
run_odin_profile 7-cluster mobility profiling
run_odin_spider_profile Demographics of travelers to/from a municipality
run_accessibility_map BOP accessibility map (returns PNG image)

Setup voor collega's

1. Installeer uv (eenmalig)

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Configureer Claude Desktop

Open ~/Library/Application Support/Claude/claude_desktop_config.json en voeg toe:

{
  "mcpServers": {
    "sb-ogc-api": {
      "command": "uvx",
      "args": ["sb-ogc-mcp"]
    }
  }
}

3. Herstart Claude Desktop

De tools verschijnen automatisch. Probeer:

"Welke data collections heeft Studio Bereikbaar?"

"Laat de modal split zien voor Amsterdam"

"Vergelijk Rotterdam en Utrecht qua vervoerswijzen"

"Toon de bereikbaarheidskaart voor fietsen naar supermarkten in Den Haag"

Data

All data comes from tools.studiobereikbaar.nl/oapi (OGC API):

  • ODIN — CBS travel survey, 20 years (2004–2023), ~3M trips, enriched by Roland Kager
  • NRM — National traffic model networks (2022 + 4 future scenarios)
  • CBS boundaries — gemeente, wijk, buurt, pc4, provincie
  • BOP — accessibility maps (Move Mobility)
  • V500 — 500m population + urbanization grids

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sb_ogc_mcp-0.1.1.tar.gz (44.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sb_ogc_mcp-0.1.1-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file sb_ogc_mcp-0.1.1.tar.gz.

File metadata

  • Download URL: sb_ogc_mcp-0.1.1.tar.gz
  • Upload date:
  • Size: 44.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.14

File hashes

Hashes for sb_ogc_mcp-0.1.1.tar.gz
Algorithm Hash digest
SHA256 55383c385a5a2301d70e9e10ae1bf293880663091d7711b00183da1711f43316
MD5 cc3f02ee655b61f797461aec77ab9a6b
BLAKE2b-256 251eba8b59a0626f97524c5453d4e2cd8bf5b95b041bfaf98296685e98cde33e

See more details on using hashes here.

File details

Details for the file sb_ogc_mcp-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: sb_ogc_mcp-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.14

File hashes

Hashes for sb_ogc_mcp-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4da15cd147292d4c484ec5b45dbf44b92ec408b0d081b776f5f3b6a30c1c6da0
MD5 9f242150c4e45454d19cbade5d19a0c4
BLAKE2b-256 16d37ef73632bce7a7110fe4c705d8050f06cde284fad69e9b39f86f9f4745b9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page