Wikidata MCP Server
概览
作者提供的说明(英文原文)
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 3 项依据公开信息检查;尚未扫描代码
- 使用情况i起步阶段↓ 434/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 电脑或云端
- 传输方式: stdio, Streamable HTTP
- 分类: 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:3 项中通过 3 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 可以做 7 件事(工具) wikidata_search_entities, wikidata_get_entity, wikidata_get_labels, wikidata_get_statements …
- 需要你自己填写:
WIKIDATA_USER_AGENT,WIKIDATA_SPARQL_TIMEOUT_MS,WIKIDATA_REST_TIMEOUT_MS,MCP_LOG_LEVEL
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://wikidata.caseyjhand.com/mcp或者在你的电脑上运行
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"wikidata": {
"command": "npx",
"args": [
"-y",
"@cyanheads/wikidata-mcp-server"
],
"env": {
"WIKIDATA_USER_AGENT": "your-value",
"WIKIDATA_SPARQL_TIMEOUT_MS": "your-value",
"WIKIDATA_REST_TIMEOUT_MS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http wikidata https://wikidata.caseyjhand.com/mcp或者在你的电脑上运行
claude mcp add wikidata --env WIKIDATA_USER_AGENT=your-value --env WIKIDATA_SPARQL_TIMEOUT_MS=your-value --env WIKIDATA_REST_TIMEOUT_MS=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/wikidata-mcp-server运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"wikidata": {
"url": "https://wikidata.caseyjhand.com/mcp"
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"wikidata": {
"command": "npx",
"args": [
"-y",
"@cyanheads/wikidata-mcp-server"
],
"env": {
"WIKIDATA_USER_AGENT": "your-value",
"WIKIDATA_SPARQL_TIMEOUT_MS": "your-value",
"WIKIDATA_REST_TIMEOUT_MS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"wikidata": {
"type": "http",
"url": "https://wikidata.caseyjhand.com/mcp"
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"wikidata": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/wikidata-mcp-server"
],
"env": {
"WIKIDATA_USER_AGENT": "your-value",
"WIKIDATA_SPARQL_TIMEOUT_MS": "your-value",
"WIKIDATA_REST_TIMEOUT_MS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://wikidata.caseyjhand.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
需要你填写的值
WIKIDATA_USER_AGENTenvUser-Agent string for Wikimedia requests. Wikimedia policy requires a descriptive value.WIKIDATA_SPARQL_TIMEOUT_MSenvMax time to wait for a SPARQL response in milliseconds.WIKIDATA_REST_TIMEOUT_MSenvMax time to wait for REST API responses in milliseconds.MCP_LOG_LEVELenvSets the minimum log level for output (e.g., 'debug', 'info', 'warn').
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
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-ID
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 e
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. 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 return
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 ret
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:, rdfs:, schema:) are auto-injected. The wikibase:
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= 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 th
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 cyanheads 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 270 毫秒内响应(HTTP 200)
- – 不适用
使用 OAuth 登录
无需登录
- ✓ 通过
工具描述中没有隐藏指令
已读取 7 个工具描述,未发现针对 AI 的隐藏指令
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5686 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5686 个服务器的 78% 更新
- 基础检查结果等于或优于此分类中其他 5686 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Wikidata MCP Server 安全吗?
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.3.0)于11天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, Exa
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
@cyanheads/wikidata-mcp-server Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers via MCP. STDIO or Streamable HTTP. 7 Tools • 1 Resource • 1 Skill
Public Hosted Server: https://wikidata.caseyjhand.com/mcp
Overview
Wikidata's knowledge graph. Search and fetch entities, traverse the graph with SPARQL, and resolve external identifiers like DOI, PMID, ORCID, OpenAlex, and IMDb to their Wikidata items. No API key required.
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.
The published wikidata-guide covers entity disambiguation, qualified statements, external identifiers, and SPARQL. It is included in plugin installs and served over MCP as skill://wikidata-guide/SKILL.md.
Capability reference
wikidata_search_entities tool
- Searches labels, aliases, and descriptions;
type="item"for people, places, and works,type="property"for P-IDs - Takes a Wikidata language code (
en,de,pt-br; case-insensitive); offset pagination, up to 50 results per call - Each hit includes match metadata saying whether it matched a label or alias
wikidata_get_entity tool
- Q-IDs (e.g.
Q76) fetch items and P-IDs (e.g.P31) fetch properties;fieldsselectslabels,descriptions,aliases,statements, orsitelinks, and narrows the upstream fetch (Q76 is 344,114 bytes whole, 6,703 forlabelsalone) languagesfilters multilingual maps to the given language codes- An entity too large to inline returns an outline of field categories with byte sizes; its
retrieval_noticenames afieldsset that fits and points oversized statements or sitelinks to the tool that can narrow them
wikidata_get_labels tool
- Up to 50 IDs per call via the MediaWiki
wbgetentitiesAPI, with one or more language codes per request - Reports a
foundcount andnotFoundIDs for partial results - Meant to follow a SPARQL query: run it, then humanize the QIDs
wikidata_get_statements tool
propertieslimits the fetch to specific P-IDs (omit for all); item QIDs and quantity units in values, qualifiers, and references are resolved to labels unlessresolve_labels=false- References stay grouped by source; unknown or absent values come back as
somevalue/novalue - A statement set too large to inline returns an outline of P-IDs with byte sizes, largest first (unfiltered, Q30 carries 467 properties across 1,717 statements); re-call with
propertieswhose sizes sum to 24,000 or less, as theretrieval_noticesuggests
wikidata_get_sitelinks tool
- Maps site codes (e.g.
enwiki) to article titles and URLs;sitesfilters to specific codes wikis_only=truekeeps only Wikipedia links (drops Wiktionary, Wikiquote, Wikisource, etc.)- Q-IDs only; P-IDs are not supported
wikidata_sparql_query tool
- Runs SELECT queries against the Wikidata Query Service (Blazegraph); ASK, CONSTRUCT, DESCRIBE, updates, and plain search text are rejected before the request is sent
- Standard prefixes (
wd:,wdt:,p:,ps:,pq:,wikibase:,bd:) and thewikibase:labelSERVICE (when the query uses a? Label,? Description, or? AltLabelvariable) are added automatically;languagetakes one code or a fallback list likefr,en - Results are SPARQL 1.1 JSON bindings, capped at 64,000 bytes per response and cut between whole rows; a larger result returns its leading rows with
returnedCount,totalCount, and a notice to page withORDER BYplusLIMIT/OFFSETor to aggregate - Client
timeoutis 1–55s (server hard limit 60s); rate limit is 60 requests/min and 5 concurrent requests per IP
wikidata_resolve_external_id tool
- Resolves DOI (P356), PMID (P698), ORCID (P496), OpenAlex ID (P10283), IMDb ID (P345), and other external IDs to a QID; whitespace and resolver URL prefixes are stripped, and DOIs, PMIDs, and ORCIDs are normalized
- The property must have data type
external-id; item-valued or media properties (e.g.P31,P18) are rejected - Returns
match=nullwhen not found (the Query Service lags the live wiki, so null is not proof of absence) andmultipleMatcheswhen more than one entity claims the same ID; the label uses the requestedlanguage, falling back tomul
wikidata://entity/{id} resource
- 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, usewikidata_get_entity idis a Q-ID or P-ID, the same identifiers the tools take
Features
Built on @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
wbgetentitiesAPI for efficient batch label resolution - Wikidata Query Service (Blazegraph) for SPARQL with auto-injected prefix headers and label SERVICE
- Configurable
User-Agentper 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_labelsdesigned to follow SPARQL result sets — run the query, then humanize in one callwikidata_resolve_external_idreturnsmultipleMatchesinstead 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 aretrieval_noticenaming the exact re-call — instead of a truncated or oversized response
Getting started
Connect to the hosted instance, no install:
claude mcp add --transport http wikidata-mcp-server https://wikidata.caseyjhand.com/mcp
Or run it locally:
claude mcp add wikidata-mcp-server -- npx -y @cyanheads/wikidata-mcp-server
For other clients, add this to the MCP config file:
{
"mcpServers": { "wikidata-mcp-server": { "command": "npx", "args": ["-y", "@cyanheads/wikidata-mcp-server"] } } }
For Docker or a source build, see Running the server.
Configuration
All configuration is validated at startup via Zod schemas. Key environment variables:
| Variable | Description | Default |
|---|---|---|
MCP_TRANSPORT_TYPE | Transport: stdio or http | stdio |
MCP_HTTP_PORT | HTTP server port | 3010 |
MCP_HTTP_ENDPOINT_PATH | HTTP endpoint path where the MCP server is mounted | /mcp |
MCP_PUBLIC_URL | Public origin override for TLS-terminating reverse-proxy deployments | none |
MCP_AUTH_MODE | Authentication: none, jwt, or oauth | none |
MCP_SESSION_MODE | HTTP session mode: stateful, stateless, or auto | stateless |
MCP_LOG_LEVEL | Log level (debug, info, notice, warning, error) | info |
MCP_GC_PRESSURE_INTERVAL_MS | Opt-in forced-GC interval in ms (Bun only) | 0 (disabled) |
LOGS_DIR | Directory for log files (Node.js only) | /logs |
STORAGE_PROVIDER_TYPE | Storage backend: in-memory, filesystem, supabase, cloudflare-kv/r2/d1 | in-memory |
WIKIDATA_USER_AGENT | User-Agent string for Wikimedia requests (policy requires a descriptive value) | wikidata-mcp-server/0.1 (https://github.com/cyanheads/wikidata-mcp-server) |
WIKIDATA_SPARQL_TIMEOUT_MS | Max wait for a SPARQL response in ms | 55000 |
WIKIDATA_REST_TIMEOUT_MS | Max wait for REST API responses in ms | 10000 |
OTEL_ENABLED | Enable OpenTelemetry | false |
See .env.example for the full list of optional overrides.
Running the server
Local development
Requires Bun v1.4.0 or higher (or Node.js ≥24.0.0).
git clone https://github.com/cyanheads/wikidata-mcp-server.git
cd wikidata-mcp-server bun install cp .env.example .env
- Build and run the production version:
# One-time build
bun run rebuild
Run the built server
bun run start:http
or
bun run start:stdio
- Run checks and tests:
bun run devcheck # Lints, formats, type-checks, and more
bun run test # Runs the test suite
Docker
docker run --rm -p 3010:3010 ghcr.io/cyanheads/wikidata-mcp-server:latest只显示了开头部分;其余内容请在仓库中阅读