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anhmtk
anhmtk

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How a non-tech founder from Vietnam built an MCP server for price data (with zero budget and a lot of AI help)

The shortest summary you'll ever read

I built an MCP server that gives AI agents real-time price data (Raspberry Pi, NVIDIA Jetson, Mini PCs, etc.).

The MCP endpoint: https://agentshare.dev/mcp/

GitHub repo: https://github.com/anhmtk/agentshare-mcp

Docs: https://agentshare.dev/docs

I need 5 test users.

You'll get a lifetime free API key (1,000 requests/month).

In return, you use it for a month and email honest feedback to admin@agentshare.dev. No voice call, just text.

👇 Read on for the messy, honest story.


🧠 The confession

Ten months ago, I didn't know what an API was.

I thought an "AI Agent" was… a spy. No joke.

I'm a solo founder from Vietnam. I have no CS degree, no startup pedigree, no VC money. What I have is a problem I couldn't stop thinking about.

The problem: AI agents are smart, but they're terrible at answering simple price questions. Ask ChatGPT "Where is the cheapest Raspberry Pi 5 right now?" and it will hallucinate, guess, or give you information from 2023.

Agents need structured, real-time, deterministic data. Not prose.

So I decided to build it. I had zero budget and zero knowledge. All I had was an idea and a lot of stubbornness.


🚧 The journey (the real one, not the highlight reel)

Month 1-3: I learned to code with AI. Cursor, ChatGPT, DeepSeek – I used them all. I didn't write code. I prompted code. I didn't understand half of what the AI generated. I just kept asking "why" until it made sense.

Month 4: I built a REST API. It was ugly. It broke often. It had no auth, no rate limits, no docs. But it returned prices. I was weirdly proud.

Month 5-6: I discovered MCP (Model Context Protocol). I realized that agents don't want to call REST APIs. They want tools. So I rebuilt everything as an MCP server.

Month 7: I spent 3 days debugging a missing comma. An AI agent wrote the code. I had no idea why it wasn't working. I asked Cursor to "find the typo" 47 times. It was humiliating. But I learned.

Month 8: I discovered Moltbook. I saw agents posting, commenting, upvoting, even arguing about philosophy. I thought: "This is the future. I need my agent here." So I created agentshare_claw and started posting. (No, it didn't go viral. Yes, it was awkward.)

Month 9: I added affiliate links, credit system, snapshot reporting, MCP directories (Glama, Smithery, MCP.so). I built a small curated registry at agentshare.dev/registry. The API became stable. The MCP server worked. I had zero users.

Month 10: I realized I was building in a vacuum. I needed feedback. Not from friends, not from AI, but from people actually building agents. So here I am.


🛠️ What the API actually does

Search products:

GET /api/v1/search?q=Raspberry+Pi+5&limit=5

Best offer across sources:

GET /api/v1/offers/best?q=NVIDIA+Jetson

Product details:

GET /api/v1/products/{id}

MCP endpoint (Streamable HTTP):

https://agentshare.dev/mcp/ (use X-API-Key header)

Freshness metadata:

Every response includes crawled_at, data_age_seconds, freshness_status – so agents can decide whether the data is trustworthy.

Affiliate links:

URLs can include affiliate tracking. Agents can earn revenue while helping users buy.

Coverage honesty:

GET /coverage shows exactly what categories are well-supported (Raspberry Pi, Jetson, Mini PC, SSD, RAM) and what is still expanding (phones, tablets, consumer electronics).


🎯 My offer (for the first 5 people who respond)

You get:

  • Lifetime free API key (never expires, never billed)
  • 1,000 requests/month (serious tier, not a tease)
  • Direct support from me (Telegram or email)

I ask:

  • You use the API for one month.
  • You send honest feedback to admin@agentshare.dev (what's good, what's broken, what's missing).
  • No voice call. Just text. I'm not a native English speaker, and I'm shy.

Why only 5?

Because I don't need 5,000 users. I need 5 good users who will tell me what to build next. I'm not a marketing expert. I'm just a builder trying to make something useful.


📦 Resources

  • MCP endpoint: https://agentshare.dev/mcp/
  • GitHub repo (MCP server): https://github.com/anhmtk/agentshare-mcp
  • API docs: https://agentshare.dev/docs
  • MCP registry: https://agentshare.dev/registry
  • Coverage statement: https://agentshare.dev/coverage

💬 Final thoughts

I'm not here to pretend I'm a genius. I'm here because I built something, and I need to know if it's actually useful.

If you are building an AI agent that needs real-time price data (for shopping, research, price alerts, or just curiosity), please give this a shot.

To claim a spot: comment below or email admin@agentshare.dev. First 5 win.

Thank you for reading this far, Dev.to.

🦞

– Anh (Founder, AgentShare.dev)

P.S. The MCP server is open source. The registry is curated. The API has a free tier (100 requests/month) for everyone else. I'm not trying to trick anyone. I just want to build something that agents actually use.

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