Explore Agents

Automated code review with security and performance analysis

Pare Lint ג€” Structured linting and formatting (ESLint, Prettier, Biome, Oxlint) as typed JSON.

Claude Code plugins for reliable AI coding. Flow-Next: plan-first workflows, Ralph autonomous mode (overnight coding wit

Automating code migrations and dependency upgrades

Solve tickets, write tests, level up your workflow

🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous A

High-precision Python SAST & Dead Code Remover. Finds unused functions, secrets, and security flaws with hybrid static a

Second brain for AI agents working on your codebase - team coding patterns detection, persistent memory, preflight checks, and hybrid search with evidence scoring. Local-first MCP server

Generate type-safe TypeScript wrappers for Model Context Protocol (MCP) tools. Connects to MCP servers via STDIO, discovers tools automatically, and generates clean, type-safe code.

Gemini-powered MCP server for code analysis.

MCP server and CLI for automated GitHub PR management, review resolution, and workflow optimization

MCP server for Swagger/OpenAPI specifications - Generate TypeScript code for models and endpoints

Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 49 rules mapped to OWASP

MCP server for codebase intelligence — patterns, conventions, architecture, and rationale for AI coding agents

MCP server for linters (ESLint, Prettier, Biome) with structured, token-efficient output

An intelligent MCP server that acts as an AI tech lead for coding agents—providing expert validation, impact analysis, and strategic guidance before code changes are made

Code intelligence toolkit for AI agents — extract functions, trace call chains, find callers, detect dead code without reading entire files. Works as MCP server, CLI, or agent skill. Supports JS/TS, Python, Go, Rust, Java.

MCP server that gives AI agents (Claude, Cursor, Copilot) deep understanding of your codebase patterns, conventions, and architecture. Query patterns, security boundaries, call graphs in real-time.

AI-optimized GitLab MCP server with smart pagination and streamlined responses for better LLM integration

Ground truth verification for AI-generated code plans. Catches hallucinated file paths, schema references, imports, env vars, types, API routes, Express/Fastify routes, and Supabase schema — deterministically, zero cost, no API key.