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
基本情報
MCP Playground: Experiment with Anthropic's Claude & Model Context Protocol. Chat, connect servers, test tools.
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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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