#code-search

CodeCompass

alvinveroy

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.

Coderag

SylphxAI

Lightning-fast semantic code search with AST chunking (15+ languages) - Hybrid TF-IDF + Vector, MCP-ready for AI assistants

Retrieve The Forgotten Memory

roomi-fields

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free.

A Model Context Protocol (MCP) server that leverages a vector database to efficiently index and query the codebase.

Octocode

bgauryy

Advanced AI code assistant that intelligently searches and discovers connections across GitHub repositories and NPM packages. Features zero-config authentication, smart fallbacks, and LLM-optimized content delivery. Ask natural language questions to understand code architectures,

MCP Server that gives AI coding assistants instant access to your entire codebase through a persistent Tree-sitter index. Instead of grep flooding your context with 2000+ tokens per search, AiDex returns precise identifier matches in ~50 tokens. Supports 11 languages: C#, TypeScr

Exa MCP Server

it-beard

AI-powered code search MCP server using Exa API for intelligent code search and retrieval in AI assistants

Twira

TwiraHQ

Coding power tools for AI agents. 18 deterministic MCP tools: code-graph search, SAST, blast radius, wire-level PII redaction, signed audit chain. Works with Claude Code, Codex, Gemini, Cursor. Free tier on install.

Sverklo

sverklo

Local-first MCP code intelligence server with 37 tools — hybrid search, blast-radius analysis, diff-aware risk-scored review, and bi-temporal memory pinned to git SHAs. Stops AI agents from hallucinating function names that don't exist in your codebase. Published 60-task retrieva

MCP server for 1C:Enterprise. Metadata inspection, BSL code search, query execution, event log, syntax reference. One Go binary, zero dependencies.

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. Pre-built index committed to git, instant queries via MCP

An MCP (Model Context Protocol) server for indexing and querying codebases using CocoIndex. Features semantic code search with natural language queries, incremental indexing for fast updates, multi-language support (Python, JavaScript/TypeScript, Rust, Go, Java, C/C++, C#, SQL, S

npm: @tastehub/ckb

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.

Intelligent code knowledge graph for AI coding agents. Gives agents a persistent, queryable knowledge graph with search, call tracing, and agent write-back. 71% cheaper, 72%

AI-powered code analysis and context optimization tools. Slim large code files to relevant sections (save 60-80% tokens), compress text, analyze conversations for noise, and search past chat knowledge bases. Supports x402 micropayments on Base.

Githits

githits-com

GitHits MCP is an OSS context layer for the full software development lifecycle, giving AI agents access to code search, package docs, real-world examples, dependency metadata, vulnerabilities, changelogs, and upgrade evidence.

CodeAlive

CodeAlive-AI

Provides a bridge to CodeAlive's platform for semantic code search, repository exploration, and context-aware chat completions that leverage deep understanding of entire codebases including documentation and dependencies.

Local-first code retrieval for AI agents — cuts codebase context from tens of thousands of tokens to a few hundred, with zero hallucinated file paths.

CostAffective-MCP

okyashgajjar

Intelligent repository context for AI coding assistants. Provides code search, symbol lookup, call graphs, and reference tracking via MCP. Uniquely designed to minimize prompt-cache costs in long sessions stash/recall/remember tools keep large content out of context until needed,