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).
@bighadj22
基本信息
MCP Playground: Experiment with Anthropic's Claude & Model Context Protocol. Chat, connect servers, test tools.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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