pulsemcp Safe content atomic mcp-remote

Wikipedia

Wikipedia MCP Server provides a structured interface for language models to search and retrieve Wikipedia articles programmatically. Built with TypeScript and the Model Context Protocol SDK, it converts HTML content to clean Markdown format using the Turndown library, making it easier for AI assistants to process and present Wikipedia knowledge. The server offers two main functions: searching for articles matching specific terms and retrieving complete article content by title or page ID, enabling AI tools to access up-to-date encyclopedia information without hallucinating facts.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/timjuenemann/wikipedia-mcp
Author type: human
Updated: 2026-04-25

View source Find related skills

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"