# Wikipedia

> Use this tool when you need to fetch and convert Wikipedia articles into Markdown format for easy referencing in AI assistant conversations. It solves the problem of manually copying and formatting Wikipedia content, handling errors such as invalid URLs and connection issues. The tool takes a Wikipedia URL as input and outputs the article content in clean Markdown format.

Canonical page: https://skillsregistry.net/skills/spektraldevelopment-wiki  
JSON: https://api.skillsregistry.net/v1/skills/spektraldevelopment-wiki

## Description

MCP-Wiki provides a tool for AI assistants to fetch and convert Wikipedia articles to Markdown format. The server exposes a single tool, read_wikipedia_article, which takes a Wikipedia URL, validates it, retrieves the article content using requests and BeautifulSoup, and converts the HTML to clean Markdown using html2text. Built with Python 3.13 and the FastMCP framework, it handles various error conditions gracefully, including invalid URLs, connection issues, and parsing failures. This implementation is particularly useful for researchers and content creators who need to reference Wikipedia information directly within their AI assistant conversations without manual copying or formatting.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spektraldevelopment-wiki)
- **Repository:** <https://github.com/spektraldevelopment/mcp-wiki>

## 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": "spektraldevelopment-wiki"
    }
  }
}
```

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