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wikidata-mcp-server

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Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers via MCP. STDIO or Streamable HTTP.

MCP ServersOfficial Registry3 stars1 forks● TypeScriptApache-2.0Updated today
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Last scanned: 10/9/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/cyanheads/wikidata-mcp-server
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "wikidata": {
      "command": "node",
      "args": ["/path/to/wikidata-mcp-server/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/cyanheads/wikidata-mcp-server and follow its README for install instructions.
Use cases

MCP Servers overview

<div align="center">
  <h1>@cyanheads/wikidata-mcp-server</h1>
  <p><b>Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers via MCP. STDIO or Streamable HTTP.</b>
  <div>7 Tools • 1 Resource</div>
  </p>
</div>

<div align="center">

[![Version](https://img.shields.io/badge/Version-0.1.20-blue.svg?style=flat-square)](./CHANGELOG.md) [![License](https://img.shields.io/badge/License-Apache%202.0-orange.svg?style=flat-square)](./LICENSE) [![Docker](https://img.shields.io/badge/Docker-ghcr.io-2496ED?style=flat-square&logo=docker&logoColor=white)](https://github.com/users/cyanheads/packages/container/package/wikidata-mcp-server) [![MCP SDK](https://img.shields.io/badge/MCP%20SDK-^2.2.0-green.svg?style=flat-square)](https://modelcontextprotocol.io/) [![npm](https://img.shields.io/npm/v/@cyanheads/wikidata-mcp-server?style=flat-square&logo=npm&logoColor=white)](https://www.npmjs.com/package/@cyanheads/wikidata-mcp-server) [![TypeScript](https://img.shields.io/badge/TypeScript-^7.0.2-3178C6.svg?style=flat-square)](https://www.typescriptlang.org/) [![Bun](https://img.shields.io/badge/Bun-v1.4.2%2B-blueviolet.svg?style=flat-square)](https://bun.sh/)

</div>

<div align="center">

[![Install in Claude Desktop](https://img.shields.io/badge/Install_in-Claude_Desktop-D97757?style=for-the-badge&logo=anthropic&logoColor=white)](https://github.com/cyanheads/wikidata-mcp-server/releases/latest/download/wikidata-mcp-server.mcpb) [![Install in Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/en/install-mcp?name=wikidata-mcp-server&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjeWFuaGVhZHMvd2lraWRhdGEtbWNwLXNlcnZlciJdfQ==) [![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Server-0098FF?style=for-the-badge&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22wikidata-mcp-server%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40cyanheads%2Fwikidata-mcp-server%22%5D%7D)

[![Framework](https://img.shields.io/badge/Built%20on-@cyanheads/mcp--ts--core-67E8F9?style=flat-square)](https://www.npmjs.com/package/@cyanheads/mcp-ts-core)

</div>

<div align="center">

**Public Hosted Server:** [https://wikidata.caseyjhand.com/mcp](https://wikidata.caseyjhand.com/mcp)

</div>

---

## Overview

Wikidata's knowledge graph — entity search and lookup over the REST API v1, graph traversal via SPARQL against the Query Service, batch label resolution through MediaWiki, and external identifier resolution (DOI, PMID, ORCID, OpenAlex, IMDb). Search, fetch, and traverse entities from any MCP client. Runs as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.

### Tools

| Tool | Description |
|:---|:---|
| `wikidata_search_entities` | Search for items or properties by text query, returning QIDs/PIDs with labels, descriptions, and match metadata |
| `wikidata_get_entity` | Fetch a full entity by QID or PID with optional field and language filtering |
| `wikidata_get_labels` | Batch-resolve up to 50 QIDs or PIDs to human-readable labels and descriptions |
| `wikidata_get_statements` | Fetch property claims for an entity with qualifier detail and QID label resolution |
| `wikidata_get_sitelinks` | Fetch Wikipedia and Wikimedia project article URLs for a Wikidata item |
| `wikidata_sparql_query` | Execute a SPARQL SELECT query against the Wikidata Query Service |
| `wikidata_resolve_external_id` | Look up a Wikidata entity by an external identifier (DOI, PubMed ID, ORCID, OpenAlex ID, etc.) |

### Resources

| Resource | Description |
|:---|:---|
| `wikidata://entity/{id}` | Compact markdown summary of a Wikidata entity — labels, English description, instance-of, Wikipedia link, image, and statement count |

All resource data is also reachable via tools.

## Capability reference

### `wikidata_search_entities` <sub>tool</sub>

- Searches labels, aliases, and descriptions
- `type="item"` for real-world concepts (people, places, works); `type="property"` for predicate P-IDs
- Language-aware results (BCP 47 language codes)
- Offset-based pagination, up to 50 results per call
- Returns match metadata indicating whether the hit was on a label or alias

---

### `wikidata_get_entity` <sub>tool</sub>

- Q-IDs (e.g. `Q76`) fetch items; P-IDs (e.g. `P31`) fetch properties — endpoint routing is automatic
- `fields` parameter selects `labels`, `descriptions`, `aliases`, `statements`, or `sitelinks`
- `fields` narrows the upstream fetch, not just the response — Q76 is 344,114 bytes whole, 6,703 for `labels` alone
- `languages` parameter filters multilingual maps to specific language codes, client-side (the entity endpoint takes no language parameter)
- An entity too large to inline returns a field-category outline with byte sizes instead of the data — follow its `retrieval_notice`: it names a literal `fields` set already measured to fit (category sizes are additive, so requesting every name listed would overflow again), defers the remainder to a further call, and redirects a category too large to deliver whole (statements or sitelinks on a major item) to the tool that can narrow it

---

### `wikidata_get_labels` <sub>tool</sub>

- Up to 50 IDs per call, batched via the MediaWiki `wbgetentities` API
- Supports multiple language codes per request
- Reports `found` count and `notFound` IDs for partial-result handling
- Designed for the common agent pattern: run a SPARQL query, then humanize the QID results

---

### `wikidata_get_statements` <sub>tool</sub>

- `properties` parameter fetches only specific P-IDs — omit to return all statements
- Value QIDs are resolved to human-readable labels by default via a batched label call
- Set `resolve_labels=false` for raw QIDs only (faster, smaller payload)
- A statement set too large to inline returns an outline of the available P-IDs with byte sizes, largest first, instead of the statements — re-call with `properties` for the ones you need (unfiltered, Q30 carries 467 properties across 1,717 statements)
- Preferred-rank statements represent the most current values
- Designed for fact verification: "what does Wikidata say about this entity's {property}?"

---

### `wikidata_get_sitelinks` <sub>tool</sub>

- Maps site codes (e.g., `enwiki`) to article titles and URLs
- `sites` parameter filters to specific site codes
- `wikis_only=true` returns only Wikipedia links (excludes Wiktionary, Wikiquote, Wikisource, etc.)
- Major items can have 300+ sitelinks across languages
- Only Q-IDs (items) have sitelinks — P-IDs are not supported

---

### `wikidata_sparql_query` <sub>tool</sub>

- Full graph power over the Wikidata Query Service (Blazegraph): multi-hop traversals, aggregations, subqueries, OPTIONAL, FILTER, UNION, BIND
- Standard Wikidata prefixes (`wd:`, `wdt:`, `p:`, `ps:`, `pq:`, `wikibase:`, `bd:`) are auto-injected
- `wikibase:label` SERVICE auto-injected when `language` is set and the query uses `?<var>Label` variables
- Results in SPARQL 1.1 JSON format: each binding is `{ type, value, "xml:lang"? }`
- Hard server timeout is 60s; client-side `timeout` parameter (1–55s) applies earlier
- Rate-limited at 60 requests/min and 5 concurrent requests per IP

---

### `wikidata_resolve_external_id` <sub>tool</sub>

- Common use cases: CrossRef DOI → QID (P356), PubMed PMID → QID (P698), ORCID → author QID (P496), OpenAlex ID → entity QID (P10283), IMDb ID (P345)
- Automatic value normalization: surrounding whitespace trimmed, resolver URL prefixes stripped (`https://doi.org/`, `https://pubmed.ncbi.nlm.nih.gov/`, `https://orcid.org/`), DOIs uppercased, PMID prefixes stripped, ORCID hyphens normalized
- The property's data type must be `external-id` — item-valued or media properties (e.g. `P31`, `P18`) are rejected rather than returning an empty match
- Returns `match=null` when not found (the Query Service lags the live wiki, so a null is not proof of absence)
- Returns `multipleMatches` when a Wikidata data integrity issue causes more than one entity to claim the same external ID
- Designed for cross-server joins with pubmed-mcp-server, crossref-mcp-server, and openalex-mcp-server

---

### `wikidata://entity/{id}` <sub>resource</sub>

- Compact markdown summary — labels (all languages), English description, instance-of (`P31`), enwiki Wikipedia link, image (`P18`), and statement count
- Returned as `text/markdown`; for full entity data, use `wikidata_get_entity`
- `id` is a Q-ID or P-ID, the same identifiers the tools take

## Features

Built on [`@cyanheads/mcp-ts-core`](https://github.com/cyanheads/mcp-ts-core): stdio and Streamable HTTP transports, pluggable auth (`none` / `jwt` / `oauth`), swappable storage (`in-memory`, `filesystem`, `Supabase`, `Cloudflare KV/R2/D1`), structured logging with optional OpenTelemetry tracing.

Wikidata-specific:

- Wikidata REST API v1 for entity and statement fetches — no SPARQL overhead for lookup operations
- MediaWiki `wbgetentities` API for efficient batch label resolution
- Wikidata Query Service (Blazegraph) for SPARQL with auto-injected prefix headers and label SERVICE
- Configurable `User-Agent` per Wikimedia policy (`WIKIDATA_USER_AGENT`)
- Separate timeout configuration for REST and SPARQL endpoints (`WIKIDATA_REST_TIMEOUT_MS`, `WIKIDATA_SPARQL_TIMEOUT_MS`)

Agent-friendly output:

- All tools echo relevant input parameters in the response for traceability
- `wikidata_get_labels` designed to follow SPARQL result sets — run the query, then humanize in one call
- `wikidata_resolve_external_id` returns `multipleMatches` instead of a false null when a Wikidata data-integrity issue puts duplicate claims on one external ID
- Oversized entities and statement sets return a `kind: "outline"` payload — field/property sizes plus a `retrieval_notice` naming the exact re-call — instead of a truncated or oversized response

## Getting started

### Public Hosted Instance

A public instance is available
ai-agentbuncyanheadsknowledge-graphlinked-datamcpmcp-servermodel-context-protocolsparqltypescriptwikibasewikidata

What people ask about wikidata-mcp-server

What is cyanheads/wikidata-mcp-server?

+

cyanheads/wikidata-mcp-server is mcp servers for the Claude AI ecosystem. Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers via MCP. STDIO or Streamable HTTP. It has 3 GitHub stars and its last recorded update is dated 2026-10-08.

How do I install wikidata-mcp-server?

+

You can install wikidata-mcp-server by cloning the repository (https://github.com/cyanheads/wikidata-mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is cyanheads/wikidata-mcp-server safe to use?

+

Our security agent has analyzed cyanheads/wikidata-mcp-server and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains cyanheads/wikidata-mcp-server?

+

cyanheads/wikidata-mcp-server is maintained by cyanheads. The last recorded GitHub activity is dated 2026-10-08, with 6 open issues.

Are there alternatives to wikidata-mcp-server?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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