# mcp-wikidata-sparql

> mcp-wikidata-sparql — pipeworx-io-mcp-wikidata-sparql. Use this tool when you need to query and retrieve data from Wikidata, a large knowledge base of structured data, to solve problems related to data integration, entity disambiguation, and semantic search. It provides a SPARQL query interface to access and manipulate data, accepting queries as input and returning relevant data as output. Use it in contexts where you require flexible and efficient data retrieval from Wikidata, such as data analysis, research, or knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-wikidata-sparql  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-wikidata-sparql

## Description

Wikidata SPARQL MCP — Wikidata Query Service

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-wikidata-sparql)

## 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": "pipeworx-io-mcp-wikidata-sparql"
    }
  }
}
```

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