claude-context open source analysis
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Project overview
⭐ 4942 · TypeScript · Last activity on GitHub: 2025-09-16
Why it matters for engineering teams
Claude-context addresses the challenge of making large codebases accessible and understandable for coding agents by enabling comprehensive code search and context integration. This open source tool for engineering teams is particularly well suited for machine learning and AI engineering roles that require efficient code generation, semantic search, and embedding within TypeScript and Node.js environments. Its maturity and reliability make it a production ready solution for teams looking to enhance AI-driven code assistance, especially when integrating with tools like OpenAI or Gemini CLI. However, it may not be the best choice for teams with simpler codebases or those seeking lightweight code search tools without AI integration, as its complexity and focus on agentic retrieval can introduce overhead.
When to use this project
Choose claude-context when your team needs a self hosted option for advanced code search and AI-driven code generation that can handle large and complex codebases. Consider alternatives if your project requires minimal setup or if AI integration is not a priority.
Team fit and typical use cases
Machine learning and AI engineers benefit most from claude-context by using it to improve code search, generation, and semantic understanding within their development workflows. It is commonly employed in products that integrate AI coding assistants, vector databases, and semantic search capabilities, supporting advanced engineering roles focused on agentic retrieval and code embedding.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-09-16. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.