# Simple Website Fetcher

> Use this tool when you need to fetch website content programmatically, solving problems like web scraping, content analysis, and information retrieval. It provides a standardized interface for AI models to retrieve web page data, accepting URLs as input and returning website content as output. Ideal for applications requiring unified access to web data without handling complex HTTP requests and HTML parsing.

Canonical page: https://skillsregistry.net/skills/kirill-markin-simple-website-fetcher  
JSON: https://api.skillsregistry.net/v1/skills/kirill-markin-simple-website-fetcher

## Description

This MCP server, developed by Kirill Markin, provides a simple tool for fetching website content. Built with Python and leveraging the MCP library, it offers a standardized interface for AI models to retrieve web page data. The implementation focuses on ease of deployment, with Docker and Heroku support, and includes configuration options for customizing server behavior. By enabling AI assistants to access web content through a unified API, this server facilitates use cases such as web scraping, content analysis, and information retrieval. It's particularly useful for applications and AI models that require programmatic access to web data without dealing with the complexities of direct HTTP requests and HTML parsing.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kirill-markin-simple-website-fetcher)
- **Repository:** <https://github.com/chrisboden/mcp_template>

## 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": "kirill-markin-simple-website-fetcher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kirill-markin-simple-website-fetcher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kirill-markin-simple-website-fetcher/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