Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CodeToPrompt MCP ServerGenerate a context prompt from the src folder to help me refactor"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
CodeToPrompt MCP Server
CodeToPrompt MCP Server exposes the powerful features of the codetoprompt library through the Model Context Protocol (MCP). This allows LLM agents and other MCP-compatible clients to programmatically generate prompts, analyze codebases, and retrieve specific file contents.
🔧 Installation
Install from PyPI:
This will automatically install codetoprompt and the required mcp library.
🚀 Usage with an MCP Client
This server is designed to be used with an MCP client, such as the Claude Desktop App.
Example: Claude Desktop Configuration
To use this server with Claude, add it to your claude_desktop_config.json file:
Once configured, you can invoke the tools from your conversation with the LLM.
Available Tools
ctp-get-context: The primary tool for generating a comprehensive prompt from a directory. It supports all ofcodetoprompt's filtering, formatting, and compression options.ctp-analyse-project: Provides a detailed statistical analysis of a codebase, including token counts, line counts, and breakdowns by file type.ctp-get-files: Retrieves the content of specific files, formatted as a prompt. This is useful for targeted queries.
🤝 Contributing
We welcome contributions! Please refer to the main codetoprompt repository for contribution guidelines.
📄 License
This project is licensed under the MIT License. See the LICENSE file for full details.