mcp-fetch-ya
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-fetch-ya fetch https://example.com and convert to markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-fetch-ya
A Model Context Protocol (MCP) server for fetching web content and converting HTML to markdown.
Features
HTML to Markdown - Automatically extracts main content using Readability and converts to clean markdown
robots.txt Compliance - Respects robots.txt by default (configurable)
Custom User-Agent - Configurable User-Agent string
Proxy Support - Optional HTTP/HTTPS proxy configuration
Related MCP server: escalator
Installation
npm install -g mcp-fetch-ya@latestOr use directly with npx:
npx mcp-fetch-ya@latestUsage with Claude Desktop
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": ["mcp-fetch-ya@latest"]
}
}
}With options
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": [
"mcp-fetch-ya@latest",
"--ignore-robots-txt",
"--user-agent", "MyBot/1.0"
]
}
}
}With proxy
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": [
"mcp-fetch-ya@latest",
"--proxy-url", "http://proxy.example.com:8080"
]
}
}
}Tool: fetch_ya
If the built-in web fetch tool fails, you can retry with this MCP tool as a fallback. Fetches a URL and returns the content. HTML pages are converted to markdown for easier reading.
Parameters
Parameter | Type | Required | Default | Description |
| string | Yes | - | The URL to fetch |
| boolean | No | false | Return raw content without markdown conversion |
CLI Options
Option | Description |
| Custom User-Agent string |
| Proxy URL for requests |
| Ignore robots.txt restrictions |
License
MIT
Available Tools
1 toolfetch_yaFetch URLA
If the built-in web fetch tool fails, you can retry with this MCP tool as a fallback. Fetches a URL and returns the content. HTML pages are converted to markdown for easier reading.
Inputs: url (required), raw.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
Only one tool exists, so no possible confusion between tools. The purpose is clear: it fetches a URL as a fallback.
With a single tool, there is no inconsistency in naming. 'fetch_ya' follows a simple verb-based convention and is recognizable.
One tool is extremely minimal and may feel thin, but it exactly matches the narrow fallback-fetch scope. It sits in the borderline range for tool count.
For its stated purpose of acting as a fallback URL fetcher, the tool fully covers the operation: fetch, convert to markdown, and return content. No obvious gaps exist for this narrow domain.
Maintenance
Related MCP Connectors
PDFs, JavaScript pages and ordinary HTML as clean Markdown. Follows robots.txt per RFC 9309.
Read one public web page as clean Markdown with its links, after a robots.txt check.
Fetch any URL and get clean Markdown. Web scraping for AI agents.
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceFetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.MIT
- AlicenseNot gradedqualityCmaintenanceEnables fetching web pages as clean Markdown with automatic escalation from direct requests to residential proxies and headless browsers to overcome blocks, plus built-in politeness handling like robots.txt and rate limiting.-
- FlicenseNot gradedqualityAmaintenanceFetches webpages locally, extracts readable content, and converts it to clean Markdown with preserved links, optional multi-page crawling, caching, and robots.txt support for token-efficient use by AI agents and LLM pipelines.-
- AlicenseNot gradedqualityAmaintenanceFetches webpages and converts them into clean, token-efficient Markdown, optionally crawling multiple linked pages while respecting robots.txt and caching results for AI agents and LLM pipelines.MIT