# smart-webfetch-mcp

> Use this tool when you need to efficiently fetch and process web pages, as it provides context-aware web fetching with capabilities to check page size, extract specific content, and handle large documents. It solves problems such as information overload and data extraction by offering tools for truncation, pagination, and extraction of code, sections, links, and tables. Ideal for use cases where large amounts of web data need to be processed and analyzed, such as data mining, research, or training LLMs.

Canonical page: https://skillsregistry.net/skills/mathisto-smart-webfetch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mathisto-smart-webfetch-mcp

## Description

Context-aware web fetching for LLMs, providing 7 tools to check page size, fetch with truncation, extract code/sections/links/tables, and paginate large documents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eywmlbp3l9)
- **Repository:** <https://github.com/mathisto/smart-webfetch-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": "mathisto-smart-webfetch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mathisto-smart-webfetch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mathisto-smart-webfetch-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