About
MCP Playground Online is a browser-based studio for building, testing, and running AI agents on top of MCP (Model Context Protocol) servers.
No SDKs to install. No local configuration. No infrastructure to manage.
MCP Agent Studio
Connect any MCP server by URL (HTTP, SSE, or Streamable HTTP).
Deploy hosted MCP servers in one click. Launch Postgres, MongoDB, GitHub, Slack, Stripe, Notion, Playwright, and 40+ other servers instantly. Each deployment gets a live URL and bearer token.
Test and debug agents with a built-in chat client that shows every tool call live, including arguments, latency, and raw responses.
Compare 40+ AI models from a single interface, including Claude, GPT, Gemini, Grok, DeepSeek, Qwen, GLM, MiniMax, Kimi, and more.
Start from templates instead of a blank page. Use preconfigured agents for GitHub code review, Stripe billing support, Notion knowledge retrieval, Sentry error triage, and multi-server workflows.
Save and share agents with your team. Keep them private or make them available across your organization.
Export agents as APIs. Every saved agent gets a REST endpoint and API key, so the same agent you test in the browser can be used directly in production.
Hosted MCP Servers
Deploy 50+ ready-to-run MCP servers, including GitHub, Slack, Notion, Linear, Stripe, Playwright, MongoDB, Elasticsearch, Postgres, and more.
Personal HTTPS endpoint for every deployment
Secret-managed environment variables
Live logs and deployment monitoring
Auto-restart and health checks
One-click cleanup and management
No Docker. No npx. No port forwarding.
Just deploy and connect.
Free MCP Tools (No Signup Required)
MCP Test Client — Connect to any MCP server, list tools, invoke tools, and inspect raw JSON-RPC traffic.
MCP Security Scanner — Scan MCP servers for risky tool definitions and common security issues.
MCP Config Generator — Generate ready-to-use configurations for Claude Desktop, Cursor, and Cline.
MCP Token Counter — Estimate token usage and costs across different AI providers.
MCP Server Directory — Explore 10,000+ MCP servers with AI-generated summaries, documentation, and example prompts.
Why We Built It
Running MCP servers locally still means configuration files, CLI commands, port forwarding, and constant context switching between tools.
We wanted a simpler workflow: one browser tab where you can deploy MCP servers, build agents, test tools, compare models, and ship agents to production.
