CodeToPrompt
Exposes the codetoprompt library through the Model Context Protocol (MCP), enabling LLM agents to programmatically generate prompts and analyze code.
About
CodeToPrompt serves as an MCP server, integrating the robust capabilities of the codetoprompt library directly with LLM agents and other MCP-compatible clients. It empowers large language models to interact with codebases intelligently, allowing them to generate context-rich prompts, perform in-depth project analysis, and retrieve specific file contents on demand. This seamless integration enhances the LLM's ability to understand, process, and respond to code-related queries.
Key Features
- Generate comprehensive prompts from directories with filtering and formatting options
- Provide detailed statistical analysis of codebases (token/line counts, file types)
- Retrieve content of specific files formatted as prompts
- Automatic installation of codetoprompt and mcp libraries
- Configurable with MCP clients like Claude Desktop App
- 0 GitHub stars
Use Cases
- Automating prompt generation for LLM agents working with source code
- Integrating code understanding into LLM-driven development workflows
- Allowing LLMs to analyze project structures and file contents for debugging or feature development
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