MCP Playground

MCP Playground is a web‑based sandbox that brings the power of Claude and Gemini into a single, unified environment. It solves the common pain point of having to toggle between separate tooling setups for each LLM provider by offering a dual‑provider interface that can instantly connect to any Model Context Protocol (MCP) server. Developers no longer need to spin up separate prototypes or duplicate configuration; the playground handles authentication, model selection, and tool discovery in one place.

At its core, MCP Playground exposes a rich set of capabilities that developers can leverage to prototype and debug AI agents. It allows users to inject custom system prompts that shape an assistant’s personality, control tool access with fine‑grained modes (all tools, selected tools, or no tools), and execute tools directly for instant feedback. The tool panel automatically discovers all available MCP‑compliant tools, displays their schemas, and lets you test them with arbitrary parameters—making it easy to verify tool behavior before integrating it into a production workflow.

The platform’s professional server integration is another standout feature. It supports any SSE‑based MCP server, whether public or enterprise‑grade, and offers multiple authentication options—including bearer tokens and OAuth 2.0—so that it can safely interact with secure, private MCP endpoints. The instant capability discovery gives developers a clear view of what tools, prompts, and resources each server exposes, enabling rapid iteration across different data sources like Cloudflare Docs, DeepWiki, or GitHub.

Real‑world scenarios for MCP Playground include building knowledge‑base chatbots that pull from internal documentation, creating multi‑provider agents that switch between Claude and Gemini on demand, or testing new tool integrations before deploying them to a production MCP server. Because the playground runs entirely in the browser, it fits naturally into existing AI workflows: developers can prototype locally, share a session link with teammates, or embed the interface into internal dashboards.

Overall, MCP Playground offers an enterprise‑grade experience with local key storage, TLS enforcement, and responsive design across devices. Its blend of dual‑provider support, granular tool control, and seamless server integration makes it a powerful sandbox for anyone looking to experiment with Model Context Protocol without the overhead of setting up complex tooling environments.