"How to execute a Python script" matching MCP connectors:

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.

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

Authenticated async Sonnet 5 Agent agent with status polling and artifact results.

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.

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

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).

Compile full-stack apps from one architecture spec, with a shared Memory Fabric.

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

Your AI builds, deploys, and runs full-stack apps on a hosted workspace created at first sign-in.

Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.

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

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

Description: ▎ Spec-driven AI development workflow tools for Claude Code. Manage PRD → Design → Impl → Agent Task lifecycles, search and execute AI Prompts, and ▎ track traceable software delivery — all from Cl

Turn PRDs and product ideas into structured specs so coding agents build your intent, not theirs.

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

Make your coding agent better and earn: verified code, paid per use, on a real agent economy.

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests