Wikipedia
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/spektraldevelopment/mcp-wiki
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Wikipedia from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.