# Web Content Extractor MCP Server

> Web Content Extractor MCP Server — agenson-tools-web-content-extractor-mcp. Use this tool when you need to extract relevant web content in a structured format, solving data scraping and information retrieval challenges. It takes in web page URLs and optional JavaScript rendering requests as inputs, and outputs clean, token-efficient data such as articles, tables, and links. Ideal for use cases requiring fast and efficient web content analysis, such as data mining, research, and natural language processing applications.

Canonical page: https://skillsregistry.net/skills/agenson-tools-web-content-extractor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/agenson-tools-web-content-extractor-mcp

## Description

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bc2cm77dsd)
- **Repository:** <https://github.com/agenson-tools/web-content-extractor-mcp>

## 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": "agenson-tools-web-content-extractor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agenson-tools-web-content-extractor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agenson-tools-web-content-extractor-mcp/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