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Monad Custom Agent

MCP Server

AI‑powered IDE bridge to Monad Testnet

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Updated Apr 29, 2025

About

A Python MCP server that lets AI IDEs like Cursor and Claude Desktop query Monad Testnet data—balances, transactions, blocks, NFT stats, and contract ABIs—via natural language prompts.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Monad Custom Agent – MCP Server for Cursor

The Monad Custom Agent fills a critical gap for developers who want to query the Monad Testnet directly from their IDE. Traditional blockchain exploration tools require separate CLI commands or browser-based dashboards, which interrupt the coding flow. By exposing a Model Context Protocol (MCP) server that runs alongside AI‑powered IDEs such as Cursor or Claude Desktop, the agent lets developers issue natural language queries and receive structured blockchain data without leaving their editor. This tight integration streamlines debugging, audit trails, and rapid prototyping of smart contracts.

At its core, the server offers a rich set of tools that translate plain‑English requests into precise blockchain calls. Whether you need the native MON balance for an address, a list of ERC‑20 holdings, or detailed information about a specific transaction or block, the agent handles it with a single prompt. It also supports read‑only contract interactions by automatically pulling ABIs from Thirdweb Insight, eliminating the need for manual ABI imports. For NFT‑centric workflows, the server pulls collection statistics, activity history, and trending lists from Magic Eden, while Zerion’s APIs provide indexed balances and transaction analytics. These capabilities enable developers to inspect contract interactions, evaluate portfolio health, and monitor market trends—all from within the IDE.

The server’s architecture leverages asynchronous HTTP calls to keep responses fast, even when querying multiple external APIs. It uses environment variables for API keys, keeping credentials secure while allowing developers to switch between testnets or production endpoints with minimal configuration. The MCP framework ensures that each tool is discoverable and callable by the AI assistant, so developers can mix and match prompts to build complex data pipelines. For example, a single prompt could request the last ten NFT sales for a wallet and then automatically invoke a read‑only function on each NFT’s contract to fetch metadata.

Real‑world scenarios that benefit from this agent include audit and compliance checks (e.g., verifying that a wallet has never interacted with malicious contracts), portfolio analysis for DeFi projects, and real‑time monitoring of NFT collections during launch events. Because the server runs locally, it respects privacy and reduces latency compared to cloud‑based explorers. Developers can also extend the toolset by adding new APIs or custom logic, making the agent a flexible foundation for any Monad‑centric development workflow.

In summary, the Monad Custom Agent provides a seamless bridge between AI assistants and the Monad Testnet. Its comprehensive toolset, tight IDE integration, and support for both on‑chain and indexed data make it an indispensable resource for developers looking to build, test, and audit smart contracts and NFT projects without leaving their coding environment.