Model Context Protocol server for comprehensive Dutch RDW vehicle data lookup from all available databases
RDW MCP MCP server exists for a simple reason — assistants are far more useful when they can act on RDW MCP directly instead of describing what you should do. Model Context Protocol server for comprehensive Dutch RDW vehicle data lookup from all available databases.
A Model Context Protocol (MCP) server for querying Dutch RDW (Rijksdienst voor het Wegverkeer) vehicle registration data. This server provides tools to look up vehicle information, fuel/emissions data, and search vehicles by brand and model using the official RDW open data API.
Once RDW MCP is connected, these are the calls the assistant has available:
Real — time Queries**: All requests are forwarded directly to RDW APIsWindows — The Windows tool exposed by this serverrdw-mcp-server on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. RDW MCP's toolset — Real, Windows — is a fair guide to whether it matches your workflow. It is maintained by jodur; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Real | time Queries**: All requests are forwarded directly to RDW APIs |
| Windows | The Windows tool exposed by this server. |
{
"mcpServers": {
"rdw": {
"command": "rdw-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.