# io.github.jgador/websharp

> Use this tool when you need to extract relevant article text from the web for large language models (LLMs). It solves the problem of manually searching and copying text from online articles, providing a streamlined interface for web search and text extraction. The tool takes search queries as input and outputs extracted article text, ideal for use cases where LLMs require web-based data for training or information retrieval.

Canonical page: https://skillsregistry.net/skills/io-github-jgador-websharp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-jgador-websharp

## Description

Search the web and extract article text for LLMs.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** v0.99.0-rc2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.jgador%2Fwebsharp)
- **Repository:** <https://github.com/jgador/websharp>

## 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": "io-github-jgador-websharp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-jgador-websharp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-jgador-websharp/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