MCPJam helps MCP teams inspect, test, and evaluate how their servers and apps actually perform across modern MCP clients.
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We use MCPJam every day. It's become essential for testing our MCP integrations: both text tools and UI across ChatGPT, Claude, and other clients, all on the same platform.
Turning user test prompts into eval suites changed the game. Now my PM and I have a clear view of user prompt coverage and can prioritize improvements and see regressions more clearly.
Test both sides of MCP apps development: direct tool execution AND model-in-the-loop interactions for seeing how clients and models actually use your tools and UI. Debug host application messages and JSON-RPC without slowing down your iteration loop.
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Visualize and debug MCP authorization flows. Verify that your OAuth implementation conforms to the MCP spec at every step.
Read the guideUse frontier models to interact with your MCP app the way users would in clients like ChatGPT, Claude, Cursor, and more. Then, inspect the full loop: traces, tool calls, inputs, outputs, app-to-host messages, model context, and rendered UI. Test across models and preview the experience in different display modes.
