#110 · Primary category: AI Coding Assistants

claude-context

agent agentic-rag ai-coding claude-code code-generation code-search cursor embedding gemini-cli mcp merkle-tree nodejs openai rag semantic-search typescript vector-database vibe-coding voyage-ai vscode-extension

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Project last updated:07/14/26

GitHub Stars

12.5K

Forks

919

Contributors

27

License

MIT

Why we included this project

Most coding agents only see the files you paste into the prompt, which leaves the rest of the repository invisible to them, and that's where real-world mistakes tend to come from. Claude Context fixes this by indexing the whole codebase into a vector store and exposing it as an MCP server, so tools like Claude Code, Cursor, or Gemini CLI can pull relevant code into context on demand. Semantic search is what makes it useful on large, unfamiliar codebases: it finds code by meaning rather than exact string matches, which helps when you don't know the precise file or symbol to search for. That approach also keeps API costs down, because you load only the pieces the model actually needs instead of entire directories on every request. Developers and small teams running agentic coding tools day to day will get the most value out of it.

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