"How to perform commands in a terminal" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Spin up a complete OpenCode development environment on any Linux box — one agent-driven workflow, six tools, zero secrets.
Cloud macOS with Xcode for AI agents: run commands, build, test and ship iOS apps.
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Code mode (preview): the AI writes a script against a typed foundry.* API and runs it in a sandbox.
Hextrap's MCP Connector protects your LLM coding sessions from installing malicious dependencies, typosquats, unpopular packages, and enforces your strict allow and deny lists. No setup means your LLM uses MCP to configure itself to use Hextrap's proxy's automatically, enforcing your firewall rules immediately. Manage your allow and deny lists right from your favorite LLM.
I do everything related to coding and execution tasks
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
Hosted one-shot code execution: send a snippet plus optional files, get stdout, stderr, exit...
Write, deploy and host small C# web services and sites at a public address.
Pay-per-call MCP tools via x402 USDC: ZAR prices, data extraction, Python sandbox, SA flights.
Coding agents build full-stack apps in persistent workspaces and share them by link.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Run Python code in a secure sandbox without local setup. Declare inline dependencies and execute s…
Provides access to TakeProfit.com's Indie documentation and tooling — a Python-based scripting language for building custom cloud indicators and trading strategies on the TakeProfit platform.
Anima MCP connects your AI coding assistant directly to Anima Playground. It bridges the gap between PM prototypes and production code.
Generate a Flutter app from a JSON spec free; pay only for the compiled APK (USDC on Base).
Remote Linux boxes for coding agents: Docker, a browser, screenshots, logs, human takeover.
A managed backend your AI agent builds: database, sign-in, files, endpoints. You approve each step.
Persistent cloud workspaces for AI agents: run commands, edit files, use git and a browser.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
