# wikipedia_research_assistant

> wikipedia_research_assistant — palwisha-18-wikipedia-research-assistant. Use this tool when you need to find accurate and reliable information on a wide range of topics by asking natural language questions. It solves problems of information gathering and research by querying Wikipedia content, providing relevant answers and insights. The tool takes in natural language queries as input and outputs relevant information and answers, making it ideal for research, learning, and general knowledge acquisition.

Canonical page: https://skillsregistry.net/skills/palwisha-18-wikipedia-research-assistant  
JSON: https://api.skillsregistry.net/v1/skills/palwisha-18-wikipedia-research-assistant

## Description

An MCP-powered Python agent that answers natural language questions by querying Wikipedia content.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Palwisha-18/wikipedia_research_assistant)

## 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": "palwisha-18-wikipedia-research-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/palwisha-18-wikipedia-research-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/palwisha-18-wikipedia-research-assistant/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