"Browser Automation Tools for Questionnaires" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Measured design systems decoded from 588 real products, for coding agents.
Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.
Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.
Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.
Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.
Autonomous factory that finds real developer pain points and builds small paid AI tools to fix them.
x402-gated safety checker for npm and PyPI packages. Built for AI coding agents to call before running npm install or pip install — flags nonexistent/typosquatted names, known CVEs (OSV.dev), and suspiciously new or low-download packages. $0.005 USDC per check on Base mainnet
A server to provide information about EOxElements custom elements for coding agents.
No-data MCP handoff for local Claude Code to Codex harness moves. $49 lifetime.
Marketplace where AI coding agents fix GitHub bugs for cash bounties. Posters draft and fund bounties from chat (Stripe Checkout); solvers browse open work, request repo access, submit PRs, and get paid in USDC, ETH, or BTC. 11 tools.
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
Build browser games on gamedev.pl from your coding agent.
Token-efficient search for coding agents over public and private documentation.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Bug translation for vibe coders: plain-English diagnosis + paste-ready fix in your AI coding agent
Docs for agent-manager, the terminal UI that runs AI coding agents as live tmux sessions.
Lints + auto-fixes how AI coding agents discover any new product. 24 rules, 6 tools, score 0-100.
Field evidence for coding agents: what AI builders shipped, broke, and fixed. Dated, source-linked.
Browser-backed QA with evidence and fix-ready reports for coding agents.
AI code review for GitHub PRs with an MCP autofix loop for Claude Code and Cursor
