# mcp-internet

> Use this tool when you need to augment local language models with web-based information, enabling them to retrieve and extract structured data from online sources like Wikipedia and IMDb. It solves problems of data scarcity and outdated knowledge by providing a scalable and efficient way to search and scrape the web. With caching and rate limiting, it ensures seamless integration and responsible web interaction.

Canonical page: https://skillsregistry.net/skills/sonesh-2202-mcp-internet  
JSON: https://api.skillsregistry.net/v1/skills/sonesh-2202-mcp-internet

## Description

Enables local LLMs to search the web, scrape pages, and extract structured data (tables, metadata) from sources like Wikipedia and IMDb, with caching and rate limiting.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ohicn1t79z)
- **Repository:** <https://github.com/Sonesh-2202/mcp-internet>

## 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": "sonesh-2202-mcp-internet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sonesh-2202-mcp-internet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sonesh-2202-mcp-internet/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