"How to Create 2D Fighting Games in Godot Engine" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Deploy static sites from AI agents: deploy_site publishes files and returns a live URL in seconds.
AppDeploy turns app ideas described in AI chat into live full-stack web applications
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/
Give an agent a place to put large output. Build logs and reports get a stable versioned URL.
Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Build, version, review, and export websites, web apps, and games from a conversation.
Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
Deploy applications to Cloud Run
Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI tools and agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents directly to your CI/CD pipelines, giving you a conversational interface to the same pipeline, workflow, job, and artifact data you'd normally reach through the CircleCI CLI or dashboard.
Let Claude and ChatGPT publish real websites — iterate in previews, keep the good one.
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
Host apps built with AI: deploy to a live HTTPS URL, custom domains, secrets and backups.
Direct access to Cypress tests results and accessibility reports in your AI workflow.
AI QA that runs your app in a browser on every pull request: projects, test targets, test cases.
ToolYour is a remote MCP harness for AI agents: plan work, run playbooks or solve goals, and verify until checks pass. Primary jobs are ship-gate, SEO audits, and security audits. Developers call the same capabilities through REST; people smoke-check tools in the browser. MCP and REST share one API key and monthly credit quota.
Keep a target database continuously in sync with a source on another provider, then promote it.
One place to build, share, and govern the skills and tools your AI agents use at work.
Deploy & release tracking with native MCP — ask Claude what's in production and cut the release.
