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

MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding

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.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 66 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Codebase intelligence for AI-assisted engineering teams — auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

Plugin suite + bundled MCP servers for Claude Code. Full delivery lifecycle: Agile pipeline with multi-model AI review, project bootstrap, documentation generation, codebase audits, performance optimization, community workflows. Includes hex-line (hash-verified editing), hex-graph (code knowledge graph), and hex-ssh (remote SSH) MCP servers.

DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agents for faster, smarter context on large codebases.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Embeddings are created and stored locally. No API cost.

Token-efficient structural codebase MCP server for AI-assisted development

CLI, Web, LSP, and MCP toolkit to measure spec coverage in Rust codebases

An Model Context Protocol (MCP) server that provides LLMs/AI Agents with the capabilities of a language server protocol (LSP) server. This gives the AI the ability to get language aware context from the codebase.

Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants

AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into AI‑friendly context, integrates via CLI or MCP, supports 12+ languages, and AI prompt workflows for cleaner, cost‑effective AI development.

SwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.

The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.

Model Context Protocol implementation for retrieving codebases using RepoMix

MCP server tailored to work with large C/C++ codebases

Fast local-first Rust CLI for codebase metrics, AST-compressed LLM context bundles, and built-in MCP server.

A MCP built from Cursor Codebase Indexer

DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window.

CornMCP is an open-source mono repo that gives AI coding agents (Antigravity, Cursor, Claude Code, Codex), token-saving access to your codebase through the Model Context Protocol (MCP).

Local codebase indexing and semantic code search via MCP

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

TokToken is a fast, single-binary C codebase indexer for AI coding agents. Powered by universal-ctags and SQLite FTS5, it provides precise symbol search, dependency tracking, and an MCP server. TokToken reduces LLM context token usage by 88-99% by retrieving exact code symbols instead of reading entire files. Zero runtime dependencies.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.