Discover tools that work together for specific agents, stacks, and development tasks.
A curated list of MCP servers and context tools that work well with Codex-style coding workflows.
Project instruction templates that help AI coding agents understand commands, risks, style, and workflow rules.
Tools for browser testing, visual QA, screenshots, and interactive web verification with AI agents.
Tools that help AI agents inspect repositories, understand context, review pull requests, and reason about codebases.
A practical stack for checking UI behavior, responsive layout, visual polish, and frontend regressions.
Tools for reviewing security, secret exposure, admin surfaces, RLS, and risky automation paths in AI agent workflows.
Figma, design system, design token, and UI extraction tools that help coding agents move from visual intent to frontend code.
MCP servers and agent tools for reading, auditing, editing, and translating Figma files into frontend implementation context.
Tools for SEO, AEO, GEO, llms.txt, structured data, and AI search visibility workflows.
Documentation generators and MCP documentation servers that make project docs easier for AI agents to read and reuse.
Local and hosted code indexing tools that give agents semantic search, code maps, call graphs, and repository context.
GitHub Actions, MCP servers, and review helpers for AI-assisted pull request summaries, comments, suggestions, and fixes.
Tools for issue triage, duplicate detection, maintainer dashboards, labeling, and backlog review with AI agents.
Privacy-conscious tools for local code search, local indexing, persistent memory, and self-hosted agent context.
Tools that turn repositories into wikis, explainers, documentation sites, and searchable project knowledge bases.
Browser control, screenshot, console, and visual verification tools for AI agents working on frontend applications.
