MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.
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Updated
May 19, 2026 - TypeScript
MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.
A semantic code search tool for intelligent, cross-repo context retrieval.
Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search
Code indexing examples for converting source code into structured repository maps optimized for semantic search LLM understanding.
Semantic code search engine inspired by Cursor. AST chunking via tree-sitter, vector embeddings, hybrid search (semantic + ripgrep), and incremental sync via Merkle trees.
Lightweight code indexing and semantic search engine that helps AI agents write code faster while using fewer tokens. Parses codebases with Tree-sitter AST to generate structured headers, with optional LLM insights and vector embeddings. Integrates via MCP server or CLI. Supports TypeScript, JavaScript, C#
Intelligent code indexing and retrieval system for Ruby on Rails projects with MCP integration
An MCP server exposing LSP features and code indexing tools for multi-language codebases.
Small TypeScript CLI to build compact, queryable synopses of codebases
Add a description, image, and links to the code-indexing topic page so that developers can more easily learn about it.
To associate your repository with the code-indexing topic, visit your repo's landing page and select "manage topics."