Fast, fully-local code search & navigation for large codebases — cuts the tokens an AI coding agent spends finding code. Lexical + symbolic + semantic, memory-mapped, no GPU, no cloud.

Automate the extraction of your codebase context for Large Language Models. This tool scans your project directory, respects .gitignore rules, and formats the output for seamless integration with MCP-compatible clients. Save time and enhance your LLM's context with structured codebase information.

MCP server for AI assistants to navigate, search, and edit large codebases, logs, and data files with semantic code analysis

CodeMind is an AI agent memory system that maintains persistent, real-time context over complex codebases. By utilizing symbol graph storage, AST chunking, and intelligent file scanning, CodeMind enables LLMs to reason about relationships across large code structures without losing track of dependencies

VibeCode creates cryptographically verified Digital Twin snapshots—immutable PDFs that serialize entire codebases with full restoration. Powered by large-context LLMs, it combines multi-agent workflows (file selection, context generation, tool orchestration) with semantic RAG, security quarantine, and bidirectional MCP integration. Code as data.

A local RAG-powered Model Context Protocol (MCP) server using Qdrant and FastEmbed to help AI coding agents navigate, understand, and optimize large codebases.

Loupe for large codebases: focused MCP tools for code search, symbols, maps, diffs, and safe edits.

MCP server that enables AI assistants to interact with Github Copilot cli, leveraging copilot massive token window for large file analysis and codebase understanding

Graph-native AI copilot for large codebases. Reviews PRs, answers questions with citations, plugs into Claude Code / Cursor / Aider / Codex / Gemini CLI via MCP.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.

Booster MCP is an MCP server for semantic code analysis, repository mapping, and large codebase navigation. This release prepares the project for public use with a cleaner package identity, bundled agent skills, and a smoother out-of-the-box experience.

Upgrade Spring Boot 2.7→3.5/4.0 with your tests as the judge, and map large Java/Spring/Angular codebases (architecture, data model, API, hotspots), every claim cited. MCP server.

Save 30% token costs when using Claude Code, Codex, OpenCode for free - with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec.

Upgrade Spring Boot 2.7→3.5/4.0 (Maven or Gradle) with your tests as the judge, and map large Java/Spring/Angular codebases (architecture, data model, API, hotspots), every claim cited. MCP server included.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Cut agent token costs by finding code without reading the repo, then keep large codebases off the complexity wall: blast radius, tests to run, quality deltas as you write. Every guess labelled, every loss published. Paddle out with a map.

A set of tools to use while coding using the Claude code cli. "smartgrep" is a grep-like tool that uses a semantic index of the codebase to provide Claudes with information tailored for how they think. Claudes love it! A "codebase-curator" Claude to assist the "developer" Claude in his coding tasks, together they implement fully integrated code.

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.