# Wikipedia MCP Server

> Use this tool when you need to access and retrieve Wikipedia content in multiple languages, solving problems of information gathering and research across linguistic barriers. It takes search queries as input and returns relevant article summaries, sections, coordinates, and related topics as output. Ideal for use cases requiring multilingual information retrieval, research, and data enrichment.

Canonical page: https://skillsregistry.net/skills/ghidav-wikipedia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ghidav-wikipedia-mcp

## Description

Enables searching and retrieving Wikipedia content across multiple languages, including article summaries, sections, coordinates, and related topics.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cy3h5dwztc)
- **Repository:** <https://github.com/ghidav/wikipedia-mcp>

## 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": "ghidav-wikipedia-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ghidav-wikipedia-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ghidav-wikipedia-mcp/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