Tag: #code-analysis
16 packages • ⭐ 7,822 total stars
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
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 optimi
SDL-MCP (Symbol Delta Ledger MCP Server) is a cards-first context system for coding agents that saves tokens and improves context.
AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo
Autonomous AI agent that contributes to open source — discovers repos, analyzes code, generates fixes, and submits PRs
An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
Tool that just makes your open source project better using LLM agents
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages. MCP server + CLI.
Compiler truth in, AI context out. Open semantic glue between language intelligence and AI tools.
This framework maps your entire codebase, tracks how every file change affects everything else, and fixes bugs automatically. Feels like having a senior engineer watching every line you touch.
Enable autonomous AI workflows with a local-first, zero-trust Rust framework for high-performance multi-agent orchestration and deterministic execution.
🗺️ Optimize token usage by over 95% when navigating large codebases with Claude Code, enhancing your productivity in AI development.
Connect Kimi Code’s large-context reading with Claude Code’s reasoning for efficient, cost-effective codebase analysis and edits.
Build semantic vector databases from code and docs to enable AI agents to understand and navigate your entire codebase effectively.