# Wikidata

> Use this tool when you need to access and query Wikidata's vast repository of linked open data, providing tools to search entities, retrieve detailed information, and execute SPARQL queries. It solves problems in knowledge graph exploration, fact-checking workflows, and research applications by offering simplified and full-format entity data retrieval. With configurable rate limiting, caching, and language support, it is ideal for use cases requiring structured access to Wikidata through natural language interactions.

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

## Description

MCP server implementation for Wikidata access, providing tools to search entities, retrieve detailed information, execute SPARQL queries, explore entity relations, and find items by property values. Built with Python using httpx for API communication and pydantic for configuration management, it offers both simplified and full-format entity data retrieval with configurable rate limiting, caching, and language support. Useful for knowledge graph exploration, fact-checking workflows, research applications, and any use case requiring structured access to Wikidata's vast repository of linked open data through natural language interactions.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/joelgombin-wikidata)
- **Repository:** <https://github.com/joelgombin/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": "joelgombin-wikidata"
    }
  }
}
```

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