🌐 Claude MCP Server Quickstart
About
# 🌐 Claude MCP Server Quickstart A ready-to-use implementation of the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that integrates with Claude AI models. ## 🔍 Overview This project provides a fully functional MCP server implementation that allows you to: - Connect Claude AI models through a…
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- ✅ Complete MCP protocol implementation
- ✅ Claude AI model integration
- ✅ Context-aware request processing
- ✅ Streaming response support
- ✅ Easy configuration and setup
- ✅ Well-documented codebase
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
🌐 Claude MCP Server QuickstartCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
📋 Prerequisites
- Python 3.8+
- Access to Claude AI API credentials
- Basic understanding of REST APIs
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83c\udf10 claude mcp server quickstart": {
"mcp-server-gabrieldsguilherme": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}McpServers
{
"mcp-server-gabrieldsguilherme": {
"command": "uv",
"args": [
"venv"
]
}
}A ready-to-use implementation of the Model Context Protocol (MCP) server that integrates with Claude AI models.
🔍 Overview
This project provides a fully functional MCP server implementation that allows you to:
- Connect Claude AI models through a standardized protocol
- Process context-aware requests
- Handle model responses efficiently
- Streamline AI integrations in your applications
Built following the official MCP Server Quickstart guide.
✨ Features
- ✅ Complete MCP protocol implementation
- ✅ Claude AI model integration
- ✅ Context-aware request processing
- ✅ Streaming response support
- ✅ Easy configuration and setup
- ✅ Well-documented codebase
📋 Prerequisites
- Python 3.8+
- Access to Claude AI API credentials
- Basic understanding of REST APIs
🚀 Installation
```bash
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