AIBase
EN
Explore
Fetch MCP Server
F

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
9.0K
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.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.3K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.5K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
7.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.1K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.9K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.8K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
33.1K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
50.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase