Mcp Simple Tool

@erhwenkuoon 10 months ago

1 MIT

FreeCommunity

AI Systems

一個簡單的 MCP 伺服器，用來取得公開網站內容的工具。

What is Mcp Simple Tool

mcp-simple-tool is a simple MCP server designed to retrieve content from public websites.

Use cases

Use cases include gathering data for market research, monitoring changes on competitor websites, and aggregating news articles from different sources.

How to use

To use mcp-simple-tool, set up the server on your local machine or a cloud environment, and then send requests to the server to fetch content from specified public URLs.

Key features

Key features include ease of setup, ability to fetch content from multiple public websites, and a simple interface for interacting with the server.

Where to use

mcp-simple-tool can be used in web scraping, data collection for research, and content aggregation from various online sources.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Simple Tool

mcp-simple-tool is a simple MCP server designed to retrieve content from public websites.

Use cases

Use cases include gathering data for market research, monitoring changes on competitor websites, and aggregating news articles from different sources.

How to use

To use mcp-simple-tool, set up the server on your local machine or a cloud environment, and then send requests to the server to fetch content from specified public URLs.

Key features

Key features include ease of setup, ability to fetch content from multiple public websites, and a simple interface for interacting with the server.

Where to use

mcp-simple-tool can be used in web scraping, data collection for research, and content aggregation from various online sources.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

mcp-simple-tool

一個簡單的 MCP 伺服器，用來取得公開網站內容的工具。

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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