# mcp-wikidata

> Use this tool when you need to access and query Wikidata's vast knowledge base using natural language inputs. It solves problems related to entity retrieval, data enrichment, and knowledge graph exploration, providing outputs in a structured format. Ideal for use cases requiring seamless integration of Wikidata data into AI workflows through the Pipeworx gateway.

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

## Description

MCP server that wraps the Wikidata API, enabling AI agents to query and interact with Wikidata data using natural language through the Pipeworx gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ivhrpq4now)
- **Repository:** <https://github.com/pipeworx-io/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": "pipeworx-io-mcp-wikidata"
    }
  }
}
```

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