MCP Playground Online
The complete development platform for MCP-powered AI agents.
MCP Playground Online is a browser-based platform for building, testing, deploying, and managing AI agents powered by the Model Context Protocol (MCP). It eliminates the complexity of setting up local development environments by providing everything you need directly in the browser—no SDKs to install, no Docker containers to configure, no local servers to run, and no infrastructure to maintain.
Whether you're experimenting with your first MCP server or building production-ready AI applications, MCP Playground Online provides a complete development environment that simplifies every stage of the workflow. Connect to any MCP server using HTTP, SSE (Server-Sent Events), or Streamable HTTP, and start interacting with tools immediately through an integrated chat interface. Every tool invocation is displayed in real time, including arguments, execution latency, responses, and raw JSON-RPC messages, making it easy to understand, debug, and optimize agent behavior.
The platform includes MCP Agent Studio, a visual workspace for creating and testing AI agents without writing boilerplate code. Agents can connect to one or multiple MCP servers simultaneously, allowing developers to orchestrate workflows that span multiple services and data sources. Once an agent is ready, it can be saved, shared with teammates, or exported as a production-ready REST API with its own API key, enabling the same agent used during development to power real-world applications.
To make getting started even easier, MCP Playground Online offers one-click deployment for more than 50 hosted MCP servers. Instead of provisioning infrastructure manually, developers can instantly launch servers for popular services including GitHub, Slack, Stripe, Notion, MongoDB, PostgreSQL, Elasticsearch, Playwright, Linear, and many others. Every deployment receives a dedicated HTTPS endpoint, bearer token authentication, secure environment variable management, deployment monitoring, live logs, health checks, and automatic restart capabilities. This allows developers to focus entirely on building agents instead of maintaining backend infrastructure.