What AI models does MCP Playground support?
It supports Anthropic Claude (claude-3-5-sonnet-20241022) and multiple Google Gemini models (gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash, and others).
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Basic information
MCP Playground: Experiment with Anthropic's Claude & Model Context Protocol. Chat, connect servers, test tools.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Playground is a web-based interface for integrating Anthropic's Claude models and Google's Gemini models with external tools and data sources via the Model Context Protocol (MCP). It is designed for developers to experiment, debug, and innovate with dual AI provider support, advanced tool management, and customization options.
Access it at mcpsplayground.com – no login required. Configure your AI provider by entering an Anthropic or Google AI Studio API key and selecting a model. Connect MCP servers via the “MCP Servers” tab, optionally set tool restrictions in the “Available Tools” panel, then start chatting.
It supports Anthropic Claude (claude-3-5-sonnet-20241022) and multiple Google Gemini models (gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash, and others).
No, no login is required. API keys are stored locally in browser localStorage and sent only to the official provider APIs.
The playground supports SSE‑based MCP servers with optional authentication (open, Bearer Token, or OAuth 2.0). Pre‑configured examples like Cloudflare Docs and GitHub are available.
Yes. You can choose “All Tools”, “Selected Tools” (restrict to specific tools), or “No Tools” mode, and change restrictions in real time during a conversation.
Anthropic and Gemini API keys are managed independently, stored securely in browser localStorage, and communicated only to the respective official provider APIs.

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