Download
DevDocs is an open-source documentation server designed to provide developers with a private, structured interface for browsing and interacting with technical documentation using AI tools. The system functions as a Model Context Protocol (MCP) server that allows large language models and developer assistants to access technical documentation in a structured and efficient way. Instead of sending entire documents to a language model, DevDocs organizes documentation into sections so that only the most relevant portions are retrieved during a query. This approach reduces token usage and improves the accuracy of responses generated by AI coding assistants. The platform is designed to integrate easily with modern developer tools and AI environments such as Cursor, Cline, and Claude-based workflows. It includes a user interface that allows developers to browse documentation repositories and connect them to AI systems while keeping the data private.
Features
- Private MCP server for serving technical documentation to AI systems
- Section-based document retrieval for efficient context loading
- Integration with AI coding tools such as Cursor and Cline
- User interface for browsing and managing documentation sources
- Optimized token usage for large documentation repositories
- Support for AI-assisted developer workflows and coding assistants
Project Samples
