Awesome MCP Scaffold
A production-ready development scaffold for MCP servers, optimized for Cursor IDE with built-in tools, resources, and prompts that enables quick development of Model Context Protocol servers with 5-minute startup and 10-minute development capabilitie
What is Awesome MCP Scaffold?
Awesome MCP Scaffold is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to production-ready development scaffold for mcp servers, optimized for cursor ide with built-in tools, resources, and prompts that enables quick development of model context protocol servers with 5-minu...
A production-ready development scaffold for MCP servers, optimized for Cursor IDE with built-in tools, resources, and prompts that enables quick development of Model Context Protocol servers with 5-minute startup and 10-minute development capabilitie
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A production-ready development scaffold for MCP servers, opt
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx awesome-mcp-scaffoldConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Awesome MCP Scaffold
Awesome-MCP-Scaffold is a production-ready Python scaffold for building MCP servers, designed for a five-minute startup and ten-minute first tool. It ships with 24+ example tools organized into computation, text manipulation, and file operations categories, plus built-in resources for system monitoring and prompts for code review and data analytics — all optimized for Cursor IDE's AI workflows. Developers who want to create a custom MCP server without starting from a blank file can fork this scaffold and focus immediately on their domain logic rather than boilerplate protocol implementation.
Prerequisites
- Python 3.10+ installed on your system
- pip or virtualenv for dependency management
- Git to clone the scaffold repository
- An MCP-compatible client such as Claude Desktop or Cursor IDE
- fastmcp package (installed via requirements.txt)
Clone the scaffold into your new project directory
Clone the Awesome-MCP-Scaffold repository directly into a folder named after your project.
git clone https://github.com/WW-AI-Lab/Awesome-MCP-Scaffold.git my-mcp-server
cd my-mcp-serverCreate a virtual environment and install dependencies
Set up an isolated Python environment and install the scaffold's dependencies including fastmcp and psutil for system monitoring.
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtRun the server in development mode
Start the MCP server using stdio transport for local development and testing. The server exposes 24+ example tools immediately.
python run.pyTest with HTTP transport (optional)
Start the server in HTTP mode to test via curl or connect remote clients. Useful when building tools that need to be accessed over a network.
python run.py --transport streamable-http --port 8000Configure Claude Desktop to use your scaffold server
Add the server to your Claude Desktop config file so Claude can access the built-in example tools and any custom tools you add.
{
"mcpServers": {
"my-mcp-server": {
"command": "python",
"args": ["/absolute/path/to/my-mcp-server/run.py"]
}
}
}Add your own tools and customize
Edit the server directory files to add domain-specific tools following the scaffold patterns. Use the Cursor IDE prompts provided by the scaffold to generate new tools via AI assistance.
Awesome MCP Scaffold Examples
Client configuration
Register your scaffold-based MCP server in Claude Desktop using the Python run.py entrypoint.
{
"mcpServers": {
"awesome-mcp-scaffold": {
"command": "python",
"args": ["/Users/yourname/my-mcp-server/run.py"]
}
}
}Prompts to try
Sample prompts using the built-in example tools, and Cursor AI prompts for extending the scaffold.
- "Calculate 2 + 3 * 4 using the calculator tool"
- "Count the words in this paragraph: [paste text here]"
- "What is my current CPU and memory usage?"
- "Read the file at /tmp/mydata.json and summarize its contents"
- "Create a weather query tool that accepts city names and returns temperature and conditions"
- "Generate complete test cases for the calculator tool"Troubleshooting Awesome MCP Scaffold
Server fails to start with 'No module named fastmcp'
Activate the virtual environment with `source .venv/bin/activate` before running `python run.py`. If fastmcp is still missing, run `pip install -r requirements.txt` again from within the activated environment.
Claude Desktop shows the server as disconnected
Ensure the path in the config's args array is an absolute path, not a relative one. On macOS, Claude Desktop may not inherit your shell's PATH or working directory, so relative paths and virtual environments need to be explicitly resolved in the command/args.
HTTP transport returns connection refused on port 8000
Ensure no other process is using port 8000 with `lsof -i :8000`. Start with `python run.py --transport streamable-http --port 8000` and test with `curl -X POST http://localhost:8000/mcp -H 'Content-Type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'`.
Frequently Asked Questions about Awesome MCP Scaffold
What is Awesome MCP Scaffold?
Awesome MCP Scaffold is a Model Context Protocol (MCP) server that production-ready development scaffold for mcp servers, optimized for cursor ide with built-in tools, resources, and prompts that enables quick development of model context protocol servers with 5-minute startup and 10-minute development capabilitie It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Awesome MCP Scaffold?
Follow the installation instructions on the Awesome MCP Scaffold GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Awesome MCP Scaffold?
Awesome MCP Scaffold works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Awesome MCP Scaffold free to use?
Yes, Awesome MCP Scaffold is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Awesome MCP Scaffold in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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