# Wikipedia

> Use this tool when you need to quickly retrieve concise factual information and article summaries from Wikipedia. It solves problems of information overload and lengthy article parsing by providing a simple interface to fetch concise extracts from Wikipedia pages. Ideal for AI assistants requiring fast access to encyclopedic knowledge, it takes search queries as input and returns concise article summaries as output.

Canonical page: https://skillsregistry.net/skills/shribreeze-wikisearch  
JSON: https://api.skillsregistry.net/v1/skills/shribreeze-wikisearch

## Description

WikiSearch MCP server provides a bridge to Wikipedia's REST API, enabling AI assistants to retrieve article summaries through a simple interface. The implementation processes search queries to fetch concise extracts from Wikipedia pages, handling URL encoding and error cases appropriately. Built with TypeScript and running over stdio transport, it's particularly useful for AI assistants that need quick access to factual information and encyclopedic knowledge without parsing full Wikipedia articles.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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/shribreeze-wikisearch)
- **Repository:** <https://github.com/shribreeze/wikisearchmcp/tree/HEAD/wikisearch>

## 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": "shribreeze-wikisearch"
    }
  }
}
```

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

---
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