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.
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
urlas 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
- Takes
-
get_rendered_html- Fetch fully rendered HTML content- Takes
urlas a required parameter - Returns complete HTML content after JavaScript execution
- Uses Playwright for headless browser rendering
- Essential for modern web applications and SPAs
- Takes
-
get_markdown- Convert web content to Markdown format- Takes
urlas a required parameter - Returns well-formatted Markdown preserving structural elements
- Supports tables and definition lists
- Recommended for content archiving and documentation
- Takes
-
get_markdown_summary- Extract and convert main content- Takes
urlas a required parameter - Returns clean Markdown focusing on main content
- Automatically removes navigation, headers, footers
- Perfect for article and blog post extraction
- Takes
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 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Fetch (TypeScript) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Fetch (TypeScript) against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Fetch (TypeScript) is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Fetch (TypeScript) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Fetch (TypeScript) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Fetch (TypeScript) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Fetch (TypeScript) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Fetch (TypeScript) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Fetch (TypeScript) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Fetch (TypeScript) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.