MCP client workspace
MCPBundles Studio
What is MCPBundles Studio?
MCPBundles Studio is an interactive workspace built into your MCPBundles dashboard. Test MCP tools, debug issues, and chat with AI—all before deploying to Claude, ChatGPT, or Cursor.
Without Studio
- •Add MCP server to AI → hope it works → debug in production
- •Wonder what inputs a tool actually needs
- •Guess at credential issues when tools fail
- •No way to test tools before deploying
With Studio
- •Test tools interactively before deploying
- •See exactly what each tool does with real data
- •Verify credentials are working correctly
- •AI chat assistant guides you through testing
Work Across All Your Tools
Focused MCP servers are great for daily tasks. But when you need data from multiple services, the Hub uses programmatic tool calling to orchestrate them without the overload problem.
"Which deals have gone cold?"
The Hub discovers your CRM and support tools, writes code to check activity dates and cross-reference tickets, and returns: "7 deals need attention, 3 have support issues."
"What topics should I write about?"
It pulls from analytics, SEO tools, and content systems—processing hundreds of data points behind the scenes—and gives you specific recommendations.
Run MCP Tools Instantly
Studio connects directly to your MCP servers, giving you instant access to test any tool
Run Any Tool
Click any tool, fill in the form, and hit Run. See real-time results instantly. Test with real data before deploying to your AI.
Chat with AI
Ask the AI assistant about your tools. Get help understanding what tools do, suggestions for testing, and guidance on troubleshooting.
Your Credentials Work
Tools run with your API keys and OAuth connections. Verify your credentials are working correctly before using them in production.
Simple 3-Step Workflow
Test your MCP tools in minutes, not hours
Open Studio
Navigate to any MCP server and click "Open Studio" to launch the workspace
Select a Tool
Browse available tools, fill in the form fields, and click "Run Tool"
See Results
View real-time results, debug errors, and verify everything works before deploying
When to Use Studio
Testing New Bundles
Before adding an MCP server to ChatGPT or Claude, test its tools in Studio to understand what they do and verify they work correctly
Debugging Tool Issues
When a tool fails in your AI client, use Studio to isolate the problem with detailed error messages and execution logs
Verifying Credentials
After connecting a provider, test tools that use it in Studio to confirm your API keys and OAuth credentials are working
Learning Tool Behavior
Explore what inputs a tool accepts, what outputs it returns, and how it handles different scenarios in a safe environment