search-web

Fetch (TypeScript)

tatn

by tatn

Fetch (TypeScript) enables real-time data retrieval by integrating with web sources to fetch, convert, and summarize onl

Integrates with web content sources to fetch, convert, and summarize online information for real-time data retrieval and analysis.

github stars

4

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Handles JavaScript-heavy sites with headless browserMultiple output formats availableSmart content extraction removes clutter

best for

  • / Content creators extracting articles for research
  • / Developers scraping modern web applications
  • / Data analysts processing structured web data

capabilities

  • / Extract raw text from URLs without rendering
  • / Fetch fully rendered HTML including JavaScript content
  • / Convert web pages to clean Markdown format
  • / Extract main content while removing navigation and ads

what it does

Fetches and converts web content into different formats like raw text, HTML, and Markdown. Uses headless browser rendering to handle JavaScript-heavy sites.

about

Fetch (TypeScript) is a community-built MCP server published by tatn that provides AI assistants with tools and capabilities via the Model Context Protocol. Fetch (TypeScript) enables real-time data retrieval by integrating with web sources to fetch, convert, and summarize onl It is categorized under search web. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Fetch (TypeScript) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Fetch (TypeScript) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

mcp-server-fetch-typescript MCP Server

A Model Context Protocol server that provides web content fetching and conversion capabilities. This server implements a comprehensive web content retrieval system with support for various formats and rendering methods, making it ideal for tasks ranging from simple data extraction to sophisticated web scraping.

<a href="https://glama.ai/mcp/servers/iyfpvfkgyx"><img width="380" height="200" src="https://glama.ai/mcp/servers/iyfpvfkgyx/badge" alt="Server Fetch TypeScript MCP server" /></a>

Features

Tools

  • get_raw_text - Retrieve raw text content directly from URLs

    • Takes url as a required parameter pointing to text-based resources
    • Returns unprocessed text content without browser rendering
    • Ideal for JSON, XML, CSV, TSV, or plain text files
    • Best used when fast, direct access to source content is needed
  • get_rendered_html - Fetch fully rendered HTML content

    • Takes url as a required parameter
    • Returns complete HTML content after JavaScript execution
    • Uses Playwright for headless browser rendering
    • Essential for modern web applications and SPAs
  • get_markdown - Convert web content to Markdown format

    • Takes url as a required parameter
    • Returns well-formatted Markdown preserving structural elements
    • Supports tables and definition lists
    • Recommended for content archiving and documentation
  • get_markdown_summary - Extract and convert main content

    • Takes url as a required parameter
    • Returns clean Markdown focusing on main content
    • Automatically removes navigation, headers, footers
    • Perfect for article and blog post extraction

Installation

As a Global Package

npm install -g mcp-server-fetch-typescript

As a Project Dependency

npm install mcp-server-fetch-typescript

Usage

Using with Claude Desktop

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

"mcpServers": {
  "mcp-server-fetch-typescript": {
    "command": "npx",
    "args": [
      "-y",
      "mcp-server-fetch-typescript"
    ]
  }
}

or Add the following configuration:

git clone https://github.com/tatn/mcp-server-fetch-typescript.git
cd mcp-server-fetch-typescript
npm install
npm run build
"mcpServers": {
  "mcp-server-fetch-typescript": {
    "command": "node",
    "args": [
      "/path/to/mcp-server-fetch-typescript/build/index.js"
    ]
  }
}

Debugging

To debug the MCP server:

npx @modelcontextprotocol/inspector npx -y mcp-server-fetch-typescript
npx @modelcontextprotocol/inspector node /path/to/mcp-server-fetch-typescript/build/index.js

FAQ

What is the Fetch (TypeScript) MCP server?
Fetch (TypeScript) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Fetch (TypeScript)?
This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.755 reviews
  • Alexander Farah· Dec 28, 2024

    Useful MCP listing: Fetch (TypeScript) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Ganesh Mohane· Dec 24, 2024

    Fetch (TypeScript) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Naina Choi· Dec 16, 2024

    We evaluated Fetch (TypeScript) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Harper Srinivasan· Dec 16, 2024

    According to our notes, Fetch (TypeScript) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Diya Thompson· Dec 12, 2024

    Strong directory entry: Fetch (TypeScript) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Neel Nasser· Dec 8, 2024

    Fetch (TypeScript) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Aisha Liu· Nov 19, 2024

    According to our notes, Fetch (TypeScript) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Rahul Santra· Nov 15, 2024

    We evaluated Fetch (TypeScript) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Diya Li· Nov 7, 2024

    Fetch (TypeScript) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Camila Haddad· Nov 3, 2024

    I recommend Fetch (TypeScript) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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