devcontext
If you are the rightful owner of devcontext and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
DevContext is an advanced Model Context Protocol (MCP) server designed to enhance development workflows with intelligent context awareness.
DevContext is a state-of-the-art context management system tailored for software development, implementing the Model Context Protocol (MCP) with advanced context retrieval techniques. It operates as a Node.js application with a modular JavaScript codebase, bundled into a single `.js` file using `esbuild`. DevContext leverages TursoDB, a SQL database optimized for edge deployment, as the persistent store for all context, metadata, and optional logs for a specific project. The system is designed to provide developers with continuous, project-centric context awareness, learning from and adapting to development patterns. It focuses on keyword analysis, relationship graphs, and structured metadata to deliver highly relevant context during development, understanding both conversations and codebases at a deeper level. DevContext is optimized for performance, ensuring efficient SQL queries, in-memory caching, and asynchronous operations for non-blocking execution.
Features
- Non-Vector Retrieval: Utilizes sophisticated keyword analysis, relationship graphs, and structured metadata instead of vector embeddings.
- Project-Centric Design: Each server instance is dedicated to a single project, simplifying data management.
- Minimal Dependencies: Restricted to core essentials - MCP SDK, TursoDB client, and lightweight AST parsing.
- Hierarchical Understanding: Context is understood from repository structure down to function/variable levels.
- Intelligent Context Prioritization: Multi-factor relevance scoring based on recency, importance, relationships, and developer focus.
Tools
initialize_conversation_context
Initializes a new conversation session with comprehensive project context.
update_conversation_context
Updates the active context with new messages and code changes.
retrieve_relevant_context
Retrieves context snippets relevant to a specific query.
record_milestone_context
Records significant development milestones for future reference.
finalize_conversation_context
Concludes a conversation, extracting learnings and suggesting next steps.