Search Fetch Server MCP
An MCP server based on TypeScript that implements a simple note system, providing functions for note resource management, URL scraping, search engine queries, and note summary generation.
rating : 2 points
downloads : 14
What is the Search-Fetch MCP Server?
Search-Fetch is an intelligent server based on the Model Context Protocol (MCP). It provides functions for creating and managing text notes, fetching web content, and performing web searches. By integrating with an AI assistant (such as Claude), it can help you efficiently organize and process information.How to use the Search-Fetch MCP Server?
You can interact with the server directly through an AI assistant and use specific commands to create notes, obtain web content, or search for information. The server will automatically process your requests and return structured results.Use cases
Suitable for scenarios that require organizing and processing large amounts of text information, such as research data collection, knowledge management, and content summary generation.Main features
Note managementCreate and store text notes, each with a unique URI identifier and metadata
Web content fetchingFetch web content via URL, with the option to use Puppeteer to render the page or directly obtain the raw content
Web searchPerform web searches using DuckDuckGo and return structured results
Content summarizationAutomatically generate summaries of stored notes to help quickly understand the content overview
Advantages and limitations
Advantages
A simple and easy-to-use note system suitable for quickly recording ideas and information
Flexible web content fetching options, supporting dynamic page rendering
Seamless integration with AI assistants to improve information processing efficiency
Lightweight design with fast response
Limitations
The note function is relatively basic and does not support rich text format
The web scraping function may be restricted by the target website
Requires cooperation with an AI assistant that supports the MCP protocol
How to use
Installation and configuration
Ensure that the Node.js environment is installed, and then configure the server according to the instructions in the README
Integration with AI assistant
Add the server configuration information to the configuration file of the AI assistant (such as Claude)
Start using
Interact with the server by sending commands through the AI assistant, such as creating notes or obtaining web content
Usage examples
Research data collectionQuickly collect relevant web content and save it as notes when researching a new topic
Meeting minutes organizationRecord the key points of the meeting as notes and then generate a meeting summary
Frequently Asked Questions
How to access the created notes?
Why does the fetch_url command sometimes fail?
Where is the note data stored?
Related resources
Official documentation of the MCP protocol
Official documentation and specifications of the Model Context Protocol
MCP Inspector tool
A visualization tool for debugging MCP servers
Official website of Node.js
The Node.js environment required for the server to run
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