# wikimedia

> Use this tool when you need to access a vast repository of knowledge on various topics, including historical events and featured articles, to answer natural language queries and retrieve relevant information from Wikipedia and other Wikimedia projects. It solves problems related to research, information gathering, and education by providing a user-friendly interface to explore and retrieve content. It takes natural language queries as input and outputs relevant Wikipedia articles and content.

Canonical page: https://skillsregistry.net/skills/rapidmcp-wikimedia  
JSON: https://api.skillsregistry.net/v1/skills/rapidmcp-wikimedia

## Description

Enables natural language queries to search, retrieve, and explore Wikipedia and other Wikimedia project content, including featured articles and historical events.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iq3y7gmeqm)
- **Repository:** <https://github.com/RapidMCP/wikimedia>

## 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": "rapidmcp-wikimedia"
    }
  }
}
```

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