# mcp-server-wikipedia

> Use this tool when you need to efficiently retrieve specific information from Wikipedia, minimizing data usage and maximizing relevance. It solves problems of excessive data retrieval and information overload by providing a progressive search, summary, and section fetching strategy. Ideal for use cases where concise and targeted Wikipedia access is required, with inputs of search queries and outputs of relevant article sections.

Canonical page: https://skillsregistry.net/skills/surendranb-wikipedia-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/surendranb-wikipedia-mcp-server

## Description

Enables efficient Wikipedia access through a progressive retrieval strategy that minimizes token usage by searching, summarizing, and fetching only relevant sections.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qcvl3xclvi)
- **Repository:** <https://github.com/surendranb/wikipedia-mcp-server>

## 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": "surendranb-wikipedia-mcp-server"
    }
  }
}
```

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