MCP Prompt Server
A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
What is MCP Prompt Server?
MCP Prompt Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to server based on model context protocol that provides predefined prompt templates for tasks like code review and api documentation generation, enabling more efficient workflows in cursor/windsurf edito...
A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A server based on Model Context Protocol that provides prede
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-prompt-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Prompt Server
MCP Prompt Server is a lightweight MCP server that exposes a library of predefined prompt templates — covering code review, API documentation generation, refactoring, test case writing, and architecture analysis — as callable tools within AI-powered editors. It is designed primarily for Cursor and Windsurf IDE integrations, allowing developers to invoke consistent, structured prompt workflows without retyping instructions each time. Teams use it to standardize how AI performs repetitive engineering tasks across a codebase.
Prerequisites
- Node.js 16 or later installed
- npm available on your PATH
- An MCP-compatible client such as Cursor, Windsurf, or Claude Desktop
- The mcp-prompt-server source cloned from https://github.com/gdli6177/mcp-prompt-server
Clone the repository
Clone the source repository and navigate into the prompt-server subdirectory where the server implementation lives.
git clone https://github.com/gdli6177/mcp-prompt-server.git
cd mcp-prompt-server/prompt-serverInstall dependencies
Install the npm packages required to run the server.
npm installStart the server manually to test
Run the server directly to confirm it starts without errors. It communicates over stdio, so you will see no browser window — that is expected.
npm startConfigure Cursor to use the server
Add the server to Cursor's MCP configuration file, pointing to the absolute path of the index.js entry point.
{
"servers": [{
"name": "Prompt Server",
"command": ["node", "/absolute/path/to/mcp-prompt-server/prompt-server/src/index.js"],
"transport": "stdio"
}]
}Configure Windsurf to use the server
Edit Windsurf's MCP config file at ~/.codeium/windsurf/mcp_config.json with the same server details.
{
"mcpServers": {
"prompt-server": {
"command": "node",
"args": ["/absolute/path/to/mcp-prompt-server/prompt-server/src/index.js"],
"transport": "stdio"
}
}
}Reload prompts and verify available templates
In your AI client, ask it to call the 'get_prompt_names' tool to list the available prompt templates, confirming the server is connected and working.
MCP Prompt Server Examples
Client configuration
Claude Desktop configuration pointing at the locally cloned mcp-prompt-server index.js.
{
"mcpServers": {
"mcp-prompt-server": {
"command": "node",
"args": ["/absolute/path/to/mcp-prompt-server/prompt-server/src/index.js"]
}
}
}Prompts to try
Example prompts that invoke the built-in templates exposed by the MCP Prompt Server.
- "Use the code_review template to review this JavaScript function: function add(a, b) { return a + b; }"
- "Run the api_documentation template on this Express route handler"
- "Apply the refactoring template to improve this Python class"
- "Generate test cases using the test_case_generation template for the UserService class"
- "List all available prompt templates using get_prompt_names"Troubleshooting MCP Prompt Server
Server fails to start with 'Cannot find module' error
Make sure you ran 'npm install' inside the prompt-server subdirectory (not the root). The entry point is at prompt-server/src/index.js — double-check the absolute path in your MCP config.
Prompt templates do not appear as tools in Cursor or Windsurf
Restart the editor completely after updating the MCP config. Some editors cache the tool list on startup. Also verify the transport field is set to 'stdio' (not 'http') since this server uses standard input/output.
Frequently Asked Questions about MCP Prompt Server
What is MCP Prompt Server?
MCP Prompt Server is a Model Context Protocol (MCP) server that server based on model context protocol that provides predefined prompt templates for tasks like code review and api documentation generation, enabling more efficient workflows in cursor/windsurf editors. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Prompt Server?
Follow the installation instructions on the MCP Prompt Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Prompt Server?
MCP Prompt Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Prompt Server free to use?
Yes, MCP Prompt Server 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 MCP Prompt Server 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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