An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.

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.

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.

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

Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.

Architectural intelligence layer for AI coding agents. Structural graph, architecture governance, multi-agent orchestration, vulnerability mapping. 139 commands, 101 MCP tools, 26 languages, 100% local.

MCP Server for code graph analysis and visualization by CodeGPT

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.

The Rust SDK for building coding agents. Tool execution, LLM streaming, graph memory, sub-agent orchestration, MCP — as composable library functions.

A graph DB-based MCP memory server for coding agents with intelligent relationship tracking

Rust MCP server for comprehensive code intelligence - 90 tools, 32 languages, security scanning, call graphs, and more

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

An Open Source, Claude Code Like Tool, With RAG + Graph RAG + MCP Integration, and Supports Most LLMs (Incomplete But Functional & Usable)Autonomous LLM agent: ChromaDB semantic RAG + Neo4j knowledge-graph sync + MCP tool-call gateway.

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MCP Server for code intelligence

A containerized Model Context Protocol (MCP) server providing static code analysis using Joern's Code Property Graph (CPG) with support for Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift.

Shared roadmap for humans and AI Agents. Visual kanban and graph for you, Skills and MCP server for Agents. Support Claude Code, Codex, Cursor, OpenCode and more!

Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cursor, Windsurf, VS Code Copilot. 31 tools, 1116 tests.

High-performance MCP server, code graph engine & evolutionary algorithm platform in Zig. 33 tools: GitHub project management, agent swarm orchestration, iterative review-fix loops, blast radius analysis, and code navigation via Model Context Protocol.

Code intelligence CLI — function-level dependency graph across 11 languages, 30-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

GoAtlas: The AI-Powered Code Intelligence Engine — A server-side MCP platform that deeply indexes Go/TypeScript codebases via AST parsing, builds a Neo4j knowledge graph, and provides hybrid semantic search (BM25 + pgvector). Features process detection, community clustering, auto-generated docs, and a Gemini AI agent.

Stop re-explaining your codebase to AI. Infinite speed memory + code graph for Claude Code & Codex CLI. 17 MCP tools, subagent protocol, hybrid search, TUI dashboard, crash recovery. Save 80-200K+ tokens/session.

Repository Planning Graph — semantic code understanding via MCP (arXiv:2602.02084)

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

Enhanced MCP server for semantic code search with call-graph proximity, recency ranking, and find-similar-code. Built for AI coding assistants.

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Features hybrid search (semantic + BM25), MCP server integration, SQLite persistence with knowledge graph, and proactive memory surfacing. Written in Rust.

Local codebase memory for Claude Code and MCP - AST indexing, call graphs, hybrid search. 0 tool calls, 3-8x fewer tokens.

AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.

A powerful Go codebase analyzer that transforms code into explorable graphs, enabling AI assistants to understand complex codebases through the Model Context Protocol (MCP).

Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.