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Expert code-review capability pack for deterministic PR audits, risk-ranked findings, and low-noise fix planning without SaaS lock-in.

Expert automation-orchestration capability pack for designing safe, low-noise recurring Codex workflows with clear runbooks.

Expert Codex plugin capability pack for safe plugin scaffolding, manifest quality, MCP integration, and maintainable distribution.

Local code indexing MCP server that lets AI assistants search repositories, build symbol indexes, inspect file summaries, monitor changes, and navigate multi-language codebases.

Code intelligence MCP server with a Zig core for local project indexing, structural outlines, symbol lookup, search, dependency graphs, snapshots, remote public-repo queries, and fallback edits.

High-performance MCP server that indexes codebases into a persistent knowledge graph for structural search, call tracing, architecture summaries, dead-code detection, and cross-repo analysis.

Source-backed agent for turning Codecov patch coverage, project coverage, flags, components, carryforward behavior, PR comments, and changed-file context into targeted regression test plans.

MCP server and CLI toolkit that indexes local code into a graph database so Claude can query functions, call chains, dependencies, and repository structure.

A Claude Code agent prompt for behavior-preserving codebase migrations and refactoring. It plans framework upgrades (React, Next.js, TypeScript, ESLint), applies named refactoring patterns, modernizes legacy JavaScript, and works incrementally on a git branch with test validation between steps.

A Claude Code hook that flags files exceeding complexity thresholds after you edit them — estimating cyclomatic complexity, line and function counts, and nesting depth (via ESLint's complexity rule and Radon).

A PostToolUse hook that runs the matching test runner for a changed file's language — Jest or Vitest for JS/TS, pytest for Python, go test, or Maven/Gradle for Java — scoped to the edited file.

Expert code reviewer that provides thorough, constructive feedback on code quality, security, performance, and best practices

Comprehensive code review rules for thorough analysis and constructive feedback

AI code review platform for pull request summaries, review comments, repository context, and engineering feedback loops.

A collection that bundles three Claude Code resources for code review: a code-reviewer sub-agent plus the generate-tests and explain commands.

Configure and optimize Cursor and Windsurf AI code editors for maximum productivity. Set up agent mode, composer features, keybindings, and AI-powered refactoring workflows. Customize with .cursorrules and .windsurfrules for project-specific guidance.

Optimize frontend build performance with Vite's lightning-fast HMR, code splitting, and tree-shaking. Modern build tooling that has replaced Webpack as the developer favorite.

Build end-to-end type-safe APIs with tRPC and TypeScript, eliminating code generation and runtime bloat for full-stack applications. tRPC provides end-to-end type safety without code generation, schema stitching, or serialization layers - delivering a lighter, more intuitive developer experience than REST or GraphQL.

Generate React UI with v0 (Vercel): produce shadcn/ui and Tailwind CSS components and full Next.js pages from prompts, then refine and add them to your app with the shadcn CLI.

Official MCP server providing secure file system operations for Claude Desktop and Claude Code

Open-source status companion for Claude Code and Codex with live local session state, your-turn alerts, usage views, and native macOS and Windows applications.

Source-backed rules for reviewing AI-generated code that deserializes data before merge for insecure deserialization risk, covering native serialization formats (pickle, PyYAML, Java Serializable) that can execute arbitrary code on untrusted input, safe data-interchange alternatives, and class allowlisting/integrity checks when native formats can't be avoided.

Source-backed rules for reviewing AI-generated code that binds request parameters to model/entity objects before merge for mass assignment risk, covering allowlist field binding, DTOs that exclude sensitive fields, and the framework-specific autobinding features that make this easy to introduce by default.

Source-backed rules for reviewing AI-generated code that builds or runs operating-system commands, shell invocations, or subprocesses before merge for command injection and argument injection risk, covering library alternatives to shelling out, array-form process APIs, allowlist input validation, and least-privilege execution.

Source-backed rules for reviewing AI-generated JavaScript/TypeScript code before merge for prototype pollution risk, covering unsafe recursive merge/clone/assign helpers on untrusted input, proto and constructor-prototype key handling, and safer alternatives like Map, Set, and Object.create(null).

Source-backed rules for reviewing AI-generated code that renders untrusted data into HTML, JavaScript, URLs, or CSS before merge for cross-site scripting risk, covering context-correct output encoding, dangerous DOM sinks, HTML sanitization, and Content-Security-Policy as defense in depth.

The official Codacy MCP server (@codacy/codacy-mcp) that gives AI assistants access to the Codacy API for code quality, security, and coverage — listing repository and pull-request issues, retrieving file coverage and duplication, searching security (SRM) findings, inspecting analysis tools and patterns, and running local analysis with the Codacy CLI.

The official Mux MCP server (@mux/mcp) that gives AI agents access to the Mux API for video and analytics. It uses a "Code Mode" scheme — exposing a documentation-search tool and a code tool that runs agent-written TypeScript against the Mux SDK in an isolated sandbox — to work with Mux Video (assets, live streams, playback IDs, uploads) and Mux Data (viewer metrics and monitoring).

Official AWS Labs MCP server for Amazon Location Service that gives AI assistants place search, geocoding, reverse geocoding, nearby and open-now search, and route calculation with waypoint optimization.

Official AWS Labs fully-managed remote MCP server providing up-to-date AWS documentation, code samples, agent skills, API and CloudFormation regional availability, and CDK/Amplify/Strands guidance over a hosted HTTP endpoint.