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Fetch (TypeScript)

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

0 commentsdiscussion

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.

Discussion

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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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