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Efficient web content fetching and processing for AI consumption
Efficient web content fetching and processing for AI consumption
⚠️ IMPORTANT: This repository is archived and no longer maintained.
This repository contains archived reference implementations that are no longer maintained.
For the current, actively maintained MCP servers, please visit:
This repository contains historical reference implementations for the Model Context Protocol (MCP). These servers were created to demonstrate MCP features and SDK capabilities but are now archived.
NO SECURITY GUARANTEES ARE PROVIDED FOR THESE ARCHIVED SERVERS.
The following servers are included in this archive for historical reference:
This repository is archived and no longer accepts contributions. For contributing to MCP servers, please visit the active servers repository.
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"modelcontextprotocol-server-fetch": {
"command": "npx",
"args": []
}
}
}Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also