Que pouvez-vous faire avec Wikidata Sparql ?
query(sparql, format?)— run a SPARQL queryinstances_of(entity_id, limit?)— convenience: all instances of a class (e.g. Q5 = humans)subclasses_of(entity_id, limit?)— convenience: subclass treeproperties_of(entity_id, limit?)— convenience: statements about an entityentities_at(latitude, longitude, radius_km?, instance_of?, limit?)— geo-spatial query: items near a point
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http wikidata-sparql 'https://gateway.pipeworx.io/wikidata-sparql/mcp'
{
"mcpServers": {
"wikidata-sparql": {
"type": "http",
"url": "https://gateway.pipeworx.io/wikidata-sparql/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
@pipeworx/wikidata-sparql
Wikidata Query Service MCP — full SPARQL access to the entire Wikidata knowledge graph (~100M items, 1.5B statements). Complements the existing wikidata pack (which covers entity search + retrieval).
Part of Pipeworx — an MCP gateway connecting AI agents to 1684+ live data sources.
Tools
query(sparql, format?)— run a SPARQL queryinstances_of(entity_id, limit?)— convenience: all instances of a class (e.g. Q5 = humans)subclasses_of(entity_id, limit?)— convenience: subclass treeproperties_of(entity_id, limit?)— convenience: statements about an entityentities_at(latitude, longitude, radius_km?, instance_of?, limit?)— geo-spatial query: items near a point
No auth
The public WDQS at https://query.wikidata.org/sparql is keyless. Fair-use: ≤30 queries / min, ≤60 sec timeout per query. The pack sets a meaningful User-Agent (required by WMF policy).
Tips
Wikidata is enormous — narrow your queries! Use LIMIT, instance of filters, and language tags. Bring schema knowledge from https://www.wikidata.org/wiki/Wikidata:List_of_properties.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"wikidata-sparql": {
"url": "https://gateway.pipeworx.io/wikidata-sparql/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/wikidata-sparql/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1684+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/wikidata_sparql_query \
-H 'Content-Type: application/json' \
-d '{"sparql":"SELECT ?item ?itemLabel WHERE { ?item wdt:P31 wd:Q5 . SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\" } } LIMIT 10"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/wikidata_sparql_query. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"wikidata-sparql": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-wikidata-sparql"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-wikidata-sparql
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Wikidata Sparql data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Questions fréquentes
Qu'est-ce que Wikidata Sparql ?
Wikidata SPARQL MCP — Wikidata Query Service
Comment installer Wikidata Sparql ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http wikidata-sparql 'https://gateway.pipeworx.io/wikidata-sparql/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Wikidata Sparql ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Wikidata Sparql est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Wikidata Sparql ?
Il est publié par pipeworx-io. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.