wikidata-mcp-server

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

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect wikidata-mcp-server to Claude

    The server address to paste into Claude settings:

    https://wikidata.caseyjhand.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect wikidata-mcp-server to ChatGPT

    The server address to paste into ChatGPT settings:

    https://wikidata.caseyjhand.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect wikidata-mcp-server to Cursor

    The server address to paste into Cursor settings:

    https://wikidata.caseyjhand.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (7)

    Raw names from tools/list. Only developers need these.

    wikidata_search_entitiesSearch 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 no total count — pagination is offset-based with no result ceiling indicator.
    wikidata_get_entityFetch 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, and an oversized entity returns kind: "outline" — the field categories with their byte sizes — instead of the data. Follow its retrieval_notice literally rather than picking from sections yourself — it names a fields set already measured to fit, since category sizes are additive and requesting them all would overflow again; for a category too large to deliver whole (statements or sitelinks on a major item) it names the sibling tool that can narrow it. Q-IDs (e.g. Q76) fetch items; P-IDs (e.g. P31) fetch properties from the correct endpoint automatically. Use wikidata_get_statements for deep claim traversal with label resolution, and whenever an entity's statements are large — its properties parameter selects individual P-IDs, granularity fields does not carry.
    wikidata_get_labelsResolve 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_statementsFetch property claims for a Wikidata entity with qualifier and reference detail. Value QIDs are resolved to human-readable labels by default. Use the properties parameter to fetch only specific P-IDs — omitting it returns every statement, and a well-connected item (a country, a major city) carries hundreds of properties: more than fits inline. An oversized set comes back as kind: "outline" — every available P-ID with its byte size, largest first — instead of the statements; re-call with the same id plus properties:[...] naming the P-IDs you want. Designed for fact verification: "what does Wikidata say about this entity's {property}?". Preferred-rank statements are the most current values.
    wikidata_get_sitelinksFetch 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 links. Only Q-IDs (items) have sitelinks — properties (P-IDs) do not.
    wikidata_sparql_queryExecute 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:) are auto-injected. The wikibase:label SERVICE is also auto-injected when language is set and the query includes ?<var>Label variables — so you can use ?itemLabel without writing the boilerplate. Hard server timeout is 60s; use LIMIT to keep queries fast. Bindings use the SPARQL 1.1 JSON format: each value is { type, value, "xml:lang"? }. Use wikidata_get_labels to humanize QID results from this tool.
    wikidata_resolve_external_idLook 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 external ID. Common cross-server join use cases: CrossRef DOI → Wikidata paper QID (P356), PubMed PMID → Wikidata paper QID (P698), ORCID → author QID (P496), OpenAlex ID → entity QID (P10283). The property must be one whose Wikidata data type is external-id — item-valued or media properties (e.g. P31 instance-of, P18 image) are rejected rather than returning an empty match. Known value normalization is applied automatically: surrounding whitespace is trimmed, identifier-resolver URL prefixes are stripped (https://doi.org/, https://pubmed.ncbi.nlm.nih.gov/, https://orcid.org/), DOIs are uppercased, PMID prefixes stripped, ORCID hyphens normalized.