AI Architect Codebase: cross-platform code intelligence MCP for Claude Code, Codex, Gemini, Cursor, VS Code, and Zed. Tree-sitter AST to LadybugDB graph, hybrid search, and impact analysis.

MCP server for codebase analysis

Codebase analysis MCP server for AI agents: complexity metrics, size thresholds, prop drilling, and code smell detection built on tree-sitter and tokei.

AI-powered codebase intelligence platform — MCP Server, AST analysis, Knowledge Graph, and semantic memory with SQLite + sqlite-vec. Analyze any codebase in minutes.

Local-first MCP server for CodeAtlas — AST analysis, codebase intelligence, semantic memory, and A2A orchestration.

Understand any codebase: interactive dependency map, blast-radius analysis, CI drift gates and an MCP server for AI coding assistants. Offline, zero deps.

Pi coding agent native codebase awareness toolkit — 7 structural analysis tools. Also supports MCP (Cursor, Claude Desktop, Windsurf, etc.)

Local codebase maps and change impact analysis for humans and AI agents, with an MCP server.

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

MCP server that indexes any codebase with tree-sitter into one local SQLite file — function inventory, call graph, call chains, module dependency graph, control-flow graph, impact analysis and dead-code detection for AI coding agents (Claude Code, Cursor,

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

Turn your codebase into a knowledge graph. 11 MCP tools for AI code assistants — search, impact analysis, shortest path, semantic similarity, and more.

Static-analysis MRI for codebases — a Tree-Sitter dossier engine + deterministic PreToolUse safety gate for AI coding agents. Zero LLM calls, zero API keys.

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

Local codebase intelligence for AI coding agents: structural repo map, change-safety gates, MCP security receipts, and tamper-evident ChangeEvidence packets. Local analysis, zero API keys, no source-code egress.

Game Codebase Analysis AI Agentic Tool

MCP server for security analysis of NextJS/React TypeScript codebases

MCP server for codebase mapping and analysis with graph visualization

Deep Code Reasoning MCP Server - Specialized analysis tool for complex codebases

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

Explain your codebase in 30 seconds. Interactive architecture diagrams with AI descriptions, health scoring, and blast radius analysis. Works with Claude Code, Codex, Copilot CLI, and Gemini CLI.

Go MCP server for codebase analysis using tree-sitter, with AST inspection, symbol extraction, and structural search.

Evidence-first code analysis for agents in TypeScript, JavaScript, and Svelte codebases.

Evidence-first codebase analysis for coding agents (runs the Python package verinoda through uvx, pipx or a private venv)

MCP server for Revibe codebase analysis — works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client

MCP server for Revibe codebase analysis — works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client

Modular MCP server for programmatic prompt engineering. Provides intelligent prompt assembly for PRD generation, codebase analysis, and bug analysis with support for 31 technology stacks.

AI-native technical intelligence platform — codebase scanning, spec generation, Q&A, security analysis, and PR review powered by Claude

Codebase analysis as MCP tools for Claude Code — scan, risk-score and patch a repo, and it tells you what it couldn't read.

Generate a visual system architecture diagram (WORKFLOW.html) with concurrency capacity estimates and bottleneck analysis from any codebase — CLI + MCP server, stdlib-only scanner.

Graph-based code intelligence with MCP server for AI assistants. Tree-sitter parsing, semantic search, relationship analysis. Your codebase as a searchable knowledge graph.

Knowledge graph of PHP codebases for AI coding agents (Claude Code, Codex, Cursor) over MCP. Static analysis, no LLM.

MCP server for Claude Code × Kimi K2.5 (256K context) — delegate bulk codebase analysis to Kimi, save 90% on token costs

Software Testing Agent for Java codebases. Static code analysis, automatic standardized test generation, Jacoco report analysis

MCP server that scans a Python 2 / Django codebase and turns it into a prioritized, phased Python 3 migration plan. 52 rules, read-only static analysis.

Model Context Protocol server for static analysis of Go codebases with shadow SQLite indexing, background sync, call graphs, import graphs, interface topology, struct lifecycle, endpoints, maintainability metrics, and repo-aware config.

150-tool MCP server for codebase analysis — dependency graphs, architecture layers, security scanning, refactor plans, git history, and more. Works with GitHub and GitLab repos (cloud + self-hosted) and local directories.

Local codebase indexing and search tool. Supports hybrid search, flow tracing and impact analysis.

Auto-derives codebase conventions from repo analysis and injects archetype-aware guidance into AI-generated code, enforcing team idioms, banned imports, and framework-specific patterns for TypeScript/JavaScript, Ruby, and Python projects.

Go Architecture X-Ray is a Model Context Protocol server for inspecting Go codebases from an AI client. It runs over stdio and keeps a process-scoped in-memory analysis cache for the life of the MCP session.

MCP server that gives AI assistants deep codebase understanding. Semantic graph, BM25 search, impact analysis, code review.

Is this codebase safe to run, will it work, and is it complete? Deterministic Safe, Works and Complete scores with an A-F grade, from static analysis only, plus a verify loop for AI-assisted changes: baseline, repair plan, before/after diff. The code is never run.

Scan C/C++/Go/Python/Java/Rust/etc. codebases and generate directed call graphs with call ordering, conditions, conditional compilation paths, concurrency analysis, and confidence classification. Designed to give LLM agents global-to-local code understanding — first load a compact context pack, then drill into specific functions on demand.

Codebase intelligence layer — an embedded knowledge graph that makes call-graph and change-impact analysis instant.

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

Local-first AI-powered codebase analysis tool for stdio or HTTP transports using environment-supplied provider credentials.

🧠 Python MCP Server for AST Codebase Intelligence, Symbol Extraction, Cyclomatic Complexity & Refactoring Analysis — compatible with Cursor, Claude Code, Windsurf & AI Agents.

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 official CoDRAG plugin for Paperclip. Give every AI agent deep structural codebase knowledge, blast radius analysis, and semantic search via MCP.

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.

An AI-powered accessibility compliance suite that audits live websites and codebases against WCAG, ADA, Section 508, and EAA — combining automated rule engines with LLM intelligence for contextual analysis and remediation.

An intelligent, AI-driven codebase analytics engine powered by Retrieval-Augmented Generation (RAG). It performs precise repository analysis with hybrid search. language-aware AST chunking, exact line-level citations, and MCP (Model Context Protocol) tools for seamless integration with IDEs and AI agents.

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

A powerful MCP (Model Context Protocol) server enabling AI assistants to analyze, search, and navigate codebases with precision. This tool bridges the gap between AI and your software projects by providing comprehensive code exploration capabilities including symbol search, definition finding, import analysis, and advanced code metrics.

Ontology-driven codebase indexer and query service. Parses C#, TypeScript/JS, Go, Python, and SQL into an embedded graph database. Exposes Model Context Protocol (MCP) tools for AI agents to perform deep static analysis, cross-project call-graph tracing, and data lineage mapping.

Verification for agent-written code: evidence-backed findings, honest coverage.

A multi-agent AI system that audits any codebase and generates a styled health report (PDF). Built with LangGraph, MCP, and Gemini — three specialized agents scan structure, review code, and write the report.

Structural codebase indexer with MCP server for AI-assisted development

Stacklit: AI Codebase Indexing 2026 – Zero-Setup Local Repo Mapping for Agents