# Wikidata

> Use this tool when you need to access structured knowledge from Wikidata, such as searching for entities and properties, extracting metadata, or executing custom SPARQL queries. It solves problems like answering factual questions, exploring entity relationships, and gathering information about specific topics. With inputs like entity identifiers and custom queries, and outputs like metadata and query results, Wikidata is ideal for applications requiring comprehensive and accurate knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/zzaebok-wikidata  
JSON: https://api.skillsregistry.net/v1/skills/zzaebok-wikidata

## Description

MCP-Wikidata provides tools to interact with Wikidata, enabling AI assistants to search for entity and property identifiers, extract metadata, and execute SPARQL queries. Developed by Jaebok Lee, this server implementation connects to the Wikidata API and offers five key functions: searching entities and properties, retrieving associated properties for a given entity, executing custom SPARQL queries, and fetching metadata like labels and descriptions. The implementation is particularly valuable for applications requiring structured knowledge from Wikidata, such as answering factual questions, exploring entity relationships, or gathering comprehensive information about specific topics.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zzaebok-wikidata)
- **Repository:** <https://github.com/zzaebok/mcp-wikidata>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zzaebok-wikidata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzaebok-wikidata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzaebok-wikidata/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt