MCP server

Wikidata

io.github.cyanheads/wikidata-mcp-server

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

Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

7

Token cost

About 3,630 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 wikidata-mcp-server https://wikidata.caseyjhand.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.wikidata-mcp-server]
url = "https://wikidata.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"wikidata-mcp-server":{"httpUrl":"https://wikidata.caseyjhand.com/mcp"}}}

Cursor

{"mcpServers":{"wikidata-mcp-server":{"url":"https://wikidata.caseyjhand.com/mcp"}}}

VS Code

{"servers":{"wikidata-mcp-server":{"type":"http","url":"https://wikidata.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add wikidata-mcp-server https://wikidata.caseyjhand.com/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":"wikidata-mcp-server","server_url":"https://wikidata.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wikidata-mcp-server","server_url":"https://wikidata.caseyjhand.com/mcp"}

Tools

• wikidata_get_entity ~650 tokens
  Fetch a Wikidata entity (item or property) by QID or PID. The fields parameter narrows the upstream fetch, not just the response — asking for labels alone costs a fraction of the whole entity, so name the fields you need. Omit fields for all data; a well-connected item is large enough to overflow, a
• wikidata_get_labels ~324 tokens
  Resolve one or more QIDs or PIDs to their human-readable labels and descriptions. Lightweight — returns no claim data. Supports up to 50 IDs per call (batched automatically). Designed for the common agent pattern: receive QIDs from a SPARQL query, then humanize them.
• wikidata_get_sitelinks ~326 tokens
  Fetch Wikipedia and Wikimedia project article URLs for a Wikidata item. A sitelink maps a site code (e.g., "enwiki") to a Wikipedia article title and URL. Major items can have 300+ sitelinks across languages. Use sites to filter to specific language editions, or wikis_only to return only Wikipedia l
• wikidata_get_statements ~624 tokens
  Fetch property claims for a Wikidata entity with qualifier and reference detail. Item QIDs and quantity units — in values, qualifiers, and references — are resolved to human-readable labels by default. Use the properties parameter to fetch only specific P-IDs — omitting it returns every statement, a
• wikidata_resolve_external_id ~634 tokens
  Look up a Wikidata entity by an external identifier such as a DOI, PubMed ID, ORCID iD, or OpenAlex ID. Returns match=<entity> on success, match=null when not found, and match=null with multipleMatches populated when a Wikidata data integrity issue causes more than one entity to claim the same exter
• wikidata_search_entities ~429 tokens
  Search Wikidata for items or properties by text query. Returns QIDs or PIDs with labels, descriptions, and match metadata indicating whether the hit was on a label or alias. Use type="item" for real-world concepts (people, places, works) and type="property" to find predicate P-IDs. The API returns n
• wikidata_sparql_query ~643 tokens
  Execute a SPARQL SELECT query against the Wikidata Query Service. Full graph power: multi-hop traversals, aggregations, subqueries, OPTIONAL, FILTER, UNION, BIND. Standard Wikidata prefixes (wd:, wdt:, p:, ps:, pq:, wikibase:, bd:, rdfs:, schema:) are auto-injected. The wikibase:label SERVICE is als

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