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MCP Playground: Your Sandbox for Claude & Gemini with MCP Server

@bighadj22

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AI & Agents

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bighadj22

About MCP Playground: Your Sandbox for Claude & Gemini with MCP Server

MCP Playground: Experiment with Anthropic's Claude & Model Context Protocol. Chat, connect servers, test tools.

#mcp#cloudflare#mcps#mcp-servers#mcp-server#mcp-client#mcp-tools#mcp-cloudflare

MCP Playground: Your Sandbox for Claude & Gemini with MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

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MCP Playground: Your Sandbox for Claude & Gemini with MCP Server tools

Tool list not available yet

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Overview

What is MCP Playground?

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.

How to use MCP Playground?

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.

Key features of MCP Playground

  • Dual AI provider support for Claude and Gemini
  • Connect to any SSE-based MCP server
  • OAuth 2.0, Bearer Token, and open server authentication
  • Granular tool restriction (all, selected, or none)
  • Real-time tool discovery and manual tool testing
  • Custom system prompts for both providers

Use cases of MCP Playground

  • Test Claude and Gemini tool interactions without writing code
  • Compare how different AI models handle identical tasks and tools
  • Isolate MCP server issues with direct tool testing and logging
  • Learn the Model Context Protocol hands-on across multiple providers
  • Demonstrate MCP-enabled services with professional-grade tooling

Frequently asked questions

1

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).

2

Do I need an account to use MCP Playground?

No, no login is required. API keys are stored locally in browser localStorage and sent only to the official provider APIs.

3

What kind of MCP servers can I connect to?

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.

4

Can I restrict which tools the AI can use?

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.

5

How are API keys handled?

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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