I gave my Cursor agent real tools without five API keys

A developer used Vaaya as a single MCP server inside Cursor to build an AI agent that could perform tasks like browsing a product, finding prospects, and drafting outreach, without managing multiple API keys. The setup required only a single npx command, and the developer highlighted benefits such as visible tool calls and pay-per-successful-call pricing, reducing setup friction for agent workflows.

Last week, I wanted to build an AI agent that could do more than chat. My goal was simple: Surprisingly, the LLM wasn't the bottleneck. The real challenge was the setup. Every capability required another tool: For a one-off experiment, I spent more time connecting tools than actually building the workflow. So I tried using Vaaya as a single MCP server inside Cursor. Install Vaaya MCP: npx @vaaya/mcp install It automatically added this to my Cursor MCP configuration: { "mcpServers": { "vaaya": { "command": "npx", "args": "-y", "@vaaya/mcp" } } } Then I simply: vaaya was runningThat was the entire onboarding experience. Using Vaaya tools: 1. Open our product in a live browser and record a short walkthrough. 2. Find 15 Series A SaaS Product Managers matching our ICP. 3. Enrich their work email addresses. 4. Draft short outreach in our brand tone. Show every step while you work. Do not send anything. Drafts only. I intentionally kept everything in draft mode so I could review the output before anything was sent. ✅ One MCP instead of managing multiple vendor accounts for a demo ✅ Tool calls were visible inside the agent UI, making it easier to understand and debug what the agent was doing ✅ Pay-per-successful-call felt much better for experimentation than paying for multiple monthly subscriptions If you're a: …and you're spending more time wiring APIs than testing ideas, this approach is worth trying. It's not magic . It just removes a lot of the setup friction between: "I have an idea." and "My agent actually called the tools." You can check it out here: https://vaaya.ai/ https://vaaya.ai/ https://www.linkedin.com/company/vaayaio/posts/ https://www.linkedin.com/company/vaayaio/posts/ https://x.com/getvaaya https://x.com/getvaaya If you've built similar agent workflows, I'd love to know what your stack looks like. What part of the setup still feels the most painful? AI MCP Cursor AIAgents AgenticAI DeveloperTools Productivity Automation LLM DevTools