I built BugiaData because I was tired of "Foreign Key Hell." Most tools give you a list of names, but they don't understand relationships. I spent way too much time manually stitching together x_ids and y_ids across multiple API calls just to get a working local environment. I wanted a single-request solution: define a complex schema— for example Users, Orders, and Posts—and get a perfectly mapped dataset back in one go, with every foreign key intact. It started as a personal script to save me an hour of seeding time, but it evolved into a platform focused on performance and trust: * The Engine: The first hurdle was building a relational engine that maintains data integrity across 100+ locales so the data actually looks real. * Zero Friction: I wanted developers to use this immediately, so I built a frictionless free tier that lets you test the API without a credit card. * Security: After tracking bot probes in the early stages, I built a custom honeypot logging system to protect the service. * Discovery: I’ve implemented high-performance JSON-LD schemas and FAQ structures so BugiaData shows up exactly where devs are searching for answers. BugiaData is a developer-first platform built on one simple philosophy: your test data should be "the only lie you can trust".

Hey Hunters! 👋

I am incredibly excited to introduce BugiaData MCP to the community today! 🤖

If you’ve ever built a feature that requires complex relational test data, you know the pain of "Foreign Key Hell." You end up manually stitching together CSVs, hand-rolling massive JSON files, or writing brittle custom seed scripts just to test a basic workflow.

With the rise of AI-assisted coding, I realized something: developers shouldn't be leaving their IDEs to generate mock data, and AI agents shouldn't be guessing database schemas.

That’s why I built BugiaData MCP (Model Context Protocol). 🚀

As a solo founder building with the help of AI, I wanted to bring high-fidelity, relational synthetic data directly inside your favorite AI-powered development environments. BugiaData MCP essentially gives your AI agent a "database degree," allowing it to understand, architect, and map complex relationships natively via natural language.

💡 What that looks like in practice:

While working in Cursor, Claude Desktop, or Windsurf, you can simply ask your agent:

"Generate 20 users and their posts with valid author_id foreign keys, locale pt_BR."

BugiaData MCP handles the schema structure, accurate localization, and relational consistency on the fly. No context switching, no "Blank Canvas Syndrome." Just instant, structured data right where you code. 🏗️

Key Features:

💻 NATIVE INTEGRATION: Built specifically for Cursor, Claude Desktop, and Windsurf.

🔗 RELATIONAL INTEGRITY: Flawless Foreign Key mapping so your agent can test real-world scenarios instantly.

🌍 DEEP LOCALIZATION: Support for multi-locale datasets out of the box.

🎁 GENEROUS FREE TIER: Get started immediately with 10,000 tokens/month included.

It utilizes the exact same API key and quota as my standard REST API, making it a seamless upgrade to your existing BugiaData workflow.

top manual seeding. Start shipping. 🛠️

I’d love to hear your thoughts! How are you currently handling database seeding inside your AI coding workflows?

Get setup in 60 seconds → https://bugiadata.com/mcp

BugiaData - A test data API with schema that delivers multi-locale data

Replies