EDUCHAIN Agent Kit – MCP Server Overview

The EDUCHAIN Agent Kit is a Model Context Protocol (MCP) server that bridges AI assistants with the EDUCHAIN ecosystem, providing a comprehensive suite of tools for token and pool data retrieval, wallet management, swap execution, and arbitrage detection. By exposing these capabilities through MCP, Claude or any other AI client can query real‑time market information, perform transactions, and analyze cross‑market opportunities without leaving the conversational interface.

Problem Solved

Developers building AI‑powered financial applications often face fragmented APIs and the need to manually handle token wrapping, routing logic, or market data aggregation. EDUCHAIN’s native token (EDU) is not directly supported by its Uniswap‑v3 fork, SailFish DEX; instead it relies on a wrapped version (WEDU). This introduces complexity for developers who must orchestrate wrapping/unwrapping, price impact calculations, and route selection. The Agent Kit eliminates these hurdles by offering pre‑built tools that abstract away the underlying protocol intricacies, allowing AI assistants to perform complex DeFi operations with simple, declarative calls.

Core Value for Developers

With a single MCP endpoint, developers can:

• Retrieve up‑to‑date token and pool metrics such as prices, TVL, volume, and historical trends.
• Manage wallets—check balances of EDU, ERC‑20 tokens, or NFTs; send assets; and derive addresses from private keys—all while keeping the logic in the AI layer.
• Execute swaps across the DEX, including automatic handling of EDU/WEDU conversion and detailed price‑impact reporting.
• Discover arbitrage opportunities by comparing centralized exchange prices with on‑chain data, configurable thresholds, and automated market‑data ingestion.

These capabilities enable rapid prototyping of trading bots, portfolio dashboards, or educational tools that require real‑time DeFi interactions—all within a conversational AI context.

Key Features & Capabilities

• Token & Pool Insights – , , historical data, and top‑TVL listings provide a full market snapshot.
• Wallet Operations – balance checks, NFT support, and transaction functions (, ) empower users to manage assets directly.
• Swap Mechanics – , , and EDU‑specific swap helpers handle route calculation, price impact, and automatic wrapping/unwrapping.
• Arbitrage Engine – external market data ingestion and opportunity detection help users spot profitable trades between CEXs and SailFish DEX.
• Customizability – external market API configuration and arbitrage thresholds can be tuned to match risk appetite or strategy.

Real‑World Use Cases

• AI Trading Assistant – An AI that monitors price movements, suggests optimal swap routes, and executes trades on behalf of a user.
• Portfolio Tracker – A conversational interface that reports real‑time holdings, NFT collections, and portfolio performance across EDUCHAIN.
• Education Platform – Interactive tutorials that let students practice DeFi trades in a sandboxed environment without risking real funds.
• Arbitrage Bots – Automated scripts that scan for price discrepancies and execute cross‑exchange arbitrage, all triggered through an AI command.

Integration with AI Workflows

The server’s MCP interface allows developers to embed these tools directly into prompt chains. An AI assistant can:

1. Ask for market data () and present it in natural language.
2. Request a swap quote (), receive route details, and confirm execution.
3. Initiate a transfer () after user approval.
4. Schedule arbitrage checks and receive alerts when thresholds are met.

Because the MCP server handles all on‑chain interactions, developers can focus on crafting high‑level conversational logic rather than low‑level transaction plumbing.

The EDUCHAIN Agent Kit thus delivers a unified, AI‑friendly interface to the entire DeFi stack on SailFish DEX, streamlining development and opening new possibilities for intelligent financial applications.