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Fetch MCP Server
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Fetch MCP Server

Fetch MCP Server is an implementation based on the Model Context Protocol (MCP), providing real-time communication and web content scraping functions, supporting Server-Sent Events (SSE) and AI application integration.
Developer toolsSearch tools#Real-time communication#Web scraping#AI integration#Protocol implementation.TypeScript
2 points
9.4K
Open Site

Overview

Content Details

Alternatives

What is Fetch MCP Server?

Fetch MCP Server is an intelligent server based on the Model Context Protocol (MCP). It enables real-time communication through Server-Sent Events (SSE) and integrates web content scraping and search functions. This server provides a standardized way for AI applications to manage and interact with various model resources.

How to use Fetch MCP Server?

You can start the server via simple command-line commands and then interact with the server through RESTful APIs or SSE connections. The server offers ready-to-use tools such as web scraping and search, and custom functions can also be extended as needed.

Applicable scenarios

Suitable for AI applications that require real-time data updates, intelligent assistants that need to integrate online information, and any distributed systems that require standardized model management.

Main features

MCP protocol implementation
Fully implements the Model Context Protocol standard, providing a unified model management interface
SSE real-time communication
Achieves low-latency real-time data push through Server-Sent Events technology
Web content scraping
Automatically scrapes web page content using Playwright and converts it to Markdown format
Search engine integration
Built-in Google search function, which can directly obtain SERP results
Advantages
Out-of-the-box web scraping and search functions
Implementation based on standard protocols, with good compatibility
Real-time communication capabilities support dynamic data updates
Flexible extension architecture, easy to add new functions
Limitations
Requires a Node.js environment, which is not very friendly to pure front-end developers
The web scraping function depends on Playwright, with relatively high requirements for the deployment environment
Currently only supports Google search, with limited search engine options

How to use

Install dependencies
Ensure that Node.js (v14+) and the Yarn package manager are installed on the system
Start the server
Choose to start the server in development mode or production mode
Connect to the server
Establish an SSE connection through the /sse endpoint or send messages using the /messages endpoint

Usage examples

Real-time news aggregation
Provide the latest news content for AI assistants by periodically scraping news websites
Knowledge retrieval enhancement
Automatically search the web for supplementary information when the AI system encounters unknown questions

Frequently Asked Questions

How to change the server port?
Which search engines are supported?
Are there anti-scraping restrictions for web scraping?

Related resources

Model Context Protocol documentation
Official SDK documentation for the MCP protocol
Playwright official website
Documentation for the web automation testing tool
Project code repository
Source code of Fetch MCP Server

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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