# Wikimedia Enterprise

> Use this tool when you need to access high-quality, curated knowledge across a wide range of topics, or to integrate reliable information into AI-powered research, content creation, or information verification workflows. It enables AI assistants to interact with Wikimedia Enterprise data and services through a standardized interface, allowing for efficient querying and retrieval of content and metadata. This implementation is ideal for scenarios requiring authoritative and trustworthy information, supporting various use cases with its specialized Enterprise APIs.

Canonical page: https://skillsregistry.net/skills/wikimedia-enterprise-model-context-protocol  
JSON: https://api.skillsregistry.net/v1/skills/wikimedia-enterprise-model-context-protocol

## Description

This MCP implementation, developed by the Wikimedia Foundation, provides a model context protocol for Wikimedia Enterprise. It enables AI assistants to interact with Wikimedia Enterprise data and services through a standardized interface. The implementation leverages Wikimedia's vast knowledge base and content, allowing AI models to access and utilize Wikimedia resources efficiently. Key features likely include querying Wikimedia content, retrieving metadata, and accessing specialized Enterprise APIs. By bridging AI capabilities with Wikimedia's extensive information ecosystem, this implementation is particularly useful for scenarios requiring access to high-quality, curated knowledge across a wide range of topics, supporting use cases in research, content creation, and information verification.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wikimedia-enterprise-model-context-protocol)

## 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": "wikimedia-enterprise-model-context-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wikimedia-enterprise-model-context-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wikimedia-enterprise-model-context-protocol/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