Introducing Datai MCP: Real-Time Wallet Intelligence for Smarter AI Agents

Web3 agents are becoming real. Copilots that can interpret wallet activity, suggest trades, summarize portfolio risks, you name it. But they all share one problem:

They’re only as good as the context they’re given.

That’s exactly why we built Datai MCP, a lightweight, developer-friendly Model Context Provider that gives AI agents real-time visibility into any wallet’s onchain state.

Whether you’re building a portfolio tracker, a yield optimizer, or a DeFi assistant, MCP gives your agent the awareness it needs to make smart decisions — without spinning up your own infra or wrestling with RPCs.

⚙️ What is the Datai MCP?

Think of Datai MCP as a bridge between your agent and the blockchain — a simple module that gives your model live wallet intelligence, instantly.

Just point it to a wallet address, and MCP handles the rest: fetching structured data like token balances, NFT holdings, DeFi protocol positions, and more — all across multiple chains.

Currently supported:

✅ ERC-20 & NFT balances
✅ Positions in DeFi protocols (staking, LPs, lending, etc.)
✅ Cross-chain visibility
🔜 Wallet behavior classification (e.g. whale, degen, collector)
🔜 Risk, volatility & composability scores

And it’s all powered by the same API infrastructure behind the Datai analytics engine — already in use by wallets, funds, and accounting firms.

🔗 Check out the GitHub repo

🧩 Why You Might Need This

If you’re building anything involving:

• Wallet analysis
• DeFi interactions
• Personalized recommendations
• Onchain learning agents

…your model needs up-to-date context. But most LLMs and agents don’t have access to live onchain state out of the box.

Datai MCP solves that. It gives you:

• 🧠 Semantic understanding of wallets, tokens, and NFTs
• ⚡ Real-time access with zero RPC/subgraph complexity
• 🔌 Prompt-ready JSON outputs to plug straight into your logic

It’s fast, flexible, and dev-friendly. No infra setup, no scraping, no indexing. Just drop it in and go.

🧪 Use Case: Meet “YieldMate”

Let’s say you’re building a personal DeFi co-pilot. You want it to:

1. Understand a wallet’s current exposure
2. Recommend yield opportunities
3. Explain associated risks and fees

With Datai MCP:

• You define a wallet (say 0xabc…123)
• MCP queries its state in real-time
• Your agent now “sees” $5.4K in Curve pools, $1.2K in idle stables
• It can respond with something like:
  
  
  “You’ve got idle USDC. Want to explore Yearn vaults for better yield?”

That’s just one example. The point is: you don’t need to build your own indexers or pipelines. Just focus on your agent. Let MCP handle the data plumbing.

🔧 Key Features

• Plug & Play: Works with Eliza OS, Cursor, or your own stack
• Multichain: Ethereum, BNB Chain, Arbitrum & more
• Quickstart: Run locally with npx datai-mcp-server
• Debug-Ready: Truncate outputs for token-limited dev environments
• DeFi-First: From token balances to LPs, it’s ready for deep wallet intelligence

📚 Full instructions, endpoint examples, and docs are on GitHub.

🛠️ Why We Built This

At Datai, we’ve been working on making blockchain data more useful,  not just for dashboards, but for reasoning systems and agents. We’ve seen firsthand how painful it can be to wire up wallet data just to run simple logic.

So we built something we wished we had:

A small but powerful tool that lets AI agents understand wallets like a human would.

We think it opens up a lot of creative possibilities, and we’re excited to see what others build with it.

💬 Let’s Chat

Got questions? Building something fun?
We’d love to hear about it.

Drop us a message on X, open a GitHub issue, or keep an eye out for our upcoming Discord.