Skip to main content
Glama
mcp-fetch-ya

mcp-fetch-ya

by xiaocang

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@latest

Or use directly with npx:

npx mcp-fetch-ya@latest

Usage 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

url

string

Yes

-

The URL to fetch

raw

boolean

No

false

Return raw content without markdown conversion

CLI Options

Option

Description

--user-agent <agent>

Custom User-Agent string

--proxy-url <url>

Proxy URL for requests

--ignore-robots-txt

Ignore robots.txt restrictions

License

MIT

Available Tools

1 tool
fetch_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

    A4.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    Only one tool exists, so no possible confusion between tools. The purpose is clear: it fetches a URL as a fallback.

    Naming Consistency5/5

    With a single tool, there is no inconsistency in naming. 'fetch_ya' follows a simple verb-based convention and is recognizable.

    Tool Count3/5

    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.

    Completeness5/5

    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

    ActivityInactive
    ResponsivenessNo recent community issues

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables 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.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Fetches 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.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Fetches 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