"How to use the git clone command" matching MCP connectors:

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.

Build and publish full-stack web and mobile apps from Claude, ChatGPT, or any MCP-compatible AI. Floot provisions the database, authentication, storage, email, preview, and hosting; your existing AI subscription supplies the model.

Build and deploy websites, Telegram and Discord bots from chat via the DreamAgent platform.

Autonomous factory that finds real developer pain points and builds small paid AI tools to fix them.

Pull change requests from your Amendor board into your coding agent to build and open PRs.

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

Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs

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.

Create guides as MCP servers to instruct coding agents to use your software (library, API, etc).

Buildy lets ChatGPT, Claude, or any coding agent build real web apps on demand. The app works across agents, so you can build it once and keep using the same app/data from ChatGPT, Claude, Codex, or wherever your agent runs.

Docs for agent-manager, the terminal UI that runs AI coding agents as live tmux sessions.

Browser-backed QA with evidence and fix-ready reports for coding agents.

Memory for coding agents: the decisions, the dead ends, and where the last session stopped.

The team layer for AI coding agents: shared contracts, collision alerts, E2EE sessions.

Lints + auto-fixes how AI coding agents discover any new product. 24 rules, 6 tools, score 0-100.

Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.

Intelligent product canvas: iterate on your product's design with your coding agent, synced to code.

A paid remote MCP for OpenAI Codex harness MCP, built to return verdicts, receipts, usage logs, and