# Wikidata MCP Server

> Use this tool when you need to integrate large language models with verified, structured knowledge from Wikidata, enabling fast entity searches and complex relational queries to ground AI responses in accurate data. It solves problems of data verification and retrieval, providing entity and property retrieval, metadata lookups, and SPARQL execution. Ideal for applications requiring reliable, up-to-date information, such as question answering, data enrichment, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/ebaenamar-wikidata-mcp-mirror  
JSON: https://api.skillsregistry.net/v1/skills/ebaenamar-wikidata-mcp-mirror

## Description

Connects LLMs to Wikidata's structured knowledge base using a hybrid architecture that optimizes for both fast entity searches and complex relational queries. It provides tools for entity and property retrieval, metadata lookups, and direct SPARQL execution to ground AI responses in verified data.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c7zh6yx8wt)
- **Repository:** <https://github.com/ebaenamar/wikidata-mcp-mirror>

## 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": "ebaenamar-wikidata-mcp-mirror"
    }
  }
}
```

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