MCP server

KentekenKompas Official

nl.kentekenkompas/vehicle-knowledge

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only Dutch vehicle knowledge, comparisons, terminology and cited sources for AI clients.

At a glance

Type

MCP server

Publisher

kentekenkompas.nl (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 2,262 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http vehicle-knowledge https://api.kentekenkompas.nl/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.vehicle-knowledge]
url = "https://api.kentekenkompas.nl/mcp"

Gemini CLI

{"mcpServers":{"vehicle-knowledge":{"httpUrl":"https://api.kentekenkompas.nl/mcp"}}}

Cursor

{"mcpServers":{"vehicle-knowledge":{"url":"https://api.kentekenkompas.nl/mcp"}}}

VS Code

{"servers":{"vehicle-knowledge":{"type":"http","url":"https://api.kentekenkompas.nl/mcp"}}}

Antigravity

agy mcp add vehicle-knowledge https://api.kentekenkompas.nl/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"vehicle-knowledge","server_url":"https://api.kentekenkompas.nl/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"vehicle-knowledge","server_url":"https://api.kentekenkompas.nl/mcp"}

Tools

• compare_vehicle_models ~467 tokens
  Read one stored sourceModelKey-to-targetModelKey relation, not a generated comparison. Returns model keys, relationType/meaning and rationale, with evidence, sources and citations. Preserve classification and limitations; do not strengthen the stored claims. Only DIRECT_ALTERNATIVE denotes a direct
• explain_dutch_vehicle_term ~295 tokens
  Read one existing Dutch vehicle definition by lowercase term slug or term.<slug>. Use search_vehicle_knowledge for free text or an unknown key, get_answer_context for a known answerId, or get_model_context for model-specific context. No fuzzy definition generation. Unknown valid key returns TERM_NOT
• get_answer_context ~284 tokens
  Read one existing Direct Answer by exact answerId; no text generation. Use search_vehicle_knowledge when the ID is unknown, get_model_context with includeAnswers=true for a model's answers, or explain_dutch_vehicle_term for a term key. Do not pass a free-text question as an ID. Unknown ID returns AN
• get_fuel_price_context ~188 tokens
  Read the existing fuel-price provenance/status, not current pump prices or a vehicle's consumption. No arguments. Currently succeeds with SOURCE_REQUIRED_AT_RUNTIME and prices=[] because no validated current-price adapter is configured. Use get_source_context for an exact source ID or search_vehicle
• get_model_context ~371 tokens
  Read model-level knowledge for an exact modelKey; optionally include its existing Direct Answers. Use search_vehicle_knowledge to discover a key, get_answer_context for a known answerId, or compare_vehicle_models for a known pair. Not a license-plate lookup or individual-car assessment. Unknown key
• get_source_context ~285 tokens
  Read one public SOURCE or SOURCE_GROUP by exact opaque sourceId to inspect provenance, freshness and limitations. Use search_vehicle_knowledge to discover sources; get_model_context or get_answer_context retrieves the knowledge a source supports. Not a search by URL or source label. Never split comp
• search_vehicle_knowledge ~372 tokens
  Discover public models, existing answers, terms and provenance from free text when no canonical key is known. Use get_model_context, get_answer_context, explain_dutch_vehicle_term or get_source_context for known IDs; compare_vehicle_models for a known model pair; get_fuel_price_context for fuel-sour

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