MCP Playground Online
The Complete Workspace for MCP
Developer Tools·AI & Machine Learning·Data & Infrastructure
About
MCP Playground Online is a complete browser-based workspace for building, testing, evaluating, securing, and deploying MCP-powered AI agents. Connect to any MCP server, deploy 50+ hosted servers instantly, and debug agents with live tool-call inspection. Compare 40+ AI models, run MCP Evals, scan for OWASP Top 10 security risks, use ready-made templates, collaborate with your team, and export agents as production-ready APIs—all without managing SDKs, Docker, or infrastructure.
Here’s the updated feature list with MCP OWASP Top 10 Security Scan included:
Key Features
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Browser-Based MCP Agent Studio – Build, test, and deploy AI agents with no local setup or SDKs.
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Connect to Any MCP Server – Supports HTTP, SSE, and Streamable HTTP endpoints.
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One-Click Hosted MCP Servers – Instantly deploy GitHub, Slack, Stripe, Postgres, MongoDB, Playwright, and 50+ MCP servers.
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Live Agent Debugging – Inspect tool calls, arguments, latency, and raw responses in real time.
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MCP Evals – Evaluate agent performance, test tool usage, measure response quality, and identify areas for improvement.
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MCP OWASP Top 10 Security Scan – Scan MCP servers for common security risks based on the OWASP Top 10 for MCP, helping identify vulnerabilities and improve server security.
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Multi-Model AI Support – Compare 40+ AI models including GPT, Claude, Gemini, Grok, DeepSeek, and more.
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Templates & Collaboration – Start with prebuilt agent templates, save projects, and share them with your team.
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Production-Ready APIs & Free Tools – Export agents as REST APIs and use built-in tools like the MCP Test Client, Config Generator, and Token Counter.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
if someone comes in and they charge $10,000 for one call call and then we get a charge back and it might be like messy with Marketplace and so on and money needs to go different places and so on we might end up with like a pretty big Bill ourselves um but I think people can come in they have a certain limit let's say you know $300 per month
Cap individual transaction size on your marketplace to bound chargeback risk
On a marketplace you carry the chargeback risk when transactions go bad — even though the supplier kept the money long ago. Set explicit per-mentor / per-listing price caps that match your reserve cushion. MentorCruise started supply-side caps around $300/month and progressively lifted them as the business matured. Don't accept $10K-per-call listings until you can absorb the chargeback without losing a month of profit.
I pay $5,000 a month for the X API which not many people are willing to spend that much for that data... all in all together I think I pay about $250 a month... on $25,000 a month of revenue I think that puts it right around 80% margins.
Create a data moat by paying costs your competitors refuse to absorb
By paying the $5K/month X API cost that competitors refuse to absorb, Alex created a genuine data moat that justifies a premium price point and keeps margins at 80%. The willingness to take on a cost others avoid becomes both a defensibility argument to customers and a natural pricing floor. Users aren't just paying for features — they're paying for access to a data pipeline that would cost them far more to replicate.
There's a play for whatever you're stuck on.
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