# mcp-wikipedia

> mcp-wikipedia — pipeworx-io-mcp-wikipedia. Use this tool when you need to access Wikipedia content programmatically, such as searching articles, retrieving summaries, or fetching sections and random articles. It provides a server-based interface to interact with Wikipedia data, accepting search queries and article identifiers as inputs and returning relevant article information as outputs. Ideal for applications requiring automated Wikipedia data retrieval, such as research, content generation, or knowledge graph construction.

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

## Description

MCP server for Wikipedia — search articles, get summaries, sections, and random articles

## 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:** search
- **Updated:** 2026-09-27

## Source

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

## 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-wikipedia"
    }
  }
}
```

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