Monad MCP Server

The Monad MCP Server addresses a common pain point for developers building AI assistants that need real‑time blockchain insights: accessing accurate, up‑to‑date wallet data without writing custom RPC logic. By exposing a lightweight MCP interface, the server lets an AI client query native balances, ERC‑20 holdings, and token‑specific details through simple HTTP endpoints. This eliminates the need for the assistant to maintain its own node or complex smart‑contract interactions, freeing developers to focus on higher‑level reasoning and dialogue.

At its core, the server is a Node.js/Express application that leverages ethers.js to connect to the Monad Testnet. It offers a set of RESTful routes that return structured JSON containing native MONAD balances, a list of known ERC‑20 tokens in a wallet, and any errors encountered while fetching token data. The response format is deliberately flat and self‑describing, making it straightforward for an AI assistant to parse, validate, and present the information in natural language or visual widgets. The inclusion of a array also gives assistants the ability to explain why certain tokens may be missing, enhancing transparency for end users.

Key capabilities include:

• Native balance retrieval: Quickly obtain the current MONAD balance for any address.
• ERC‑20 enumeration: List all supported tokens in a wallet, along with balances and metadata.
• Targeted token queries: Fetch details for a single ERC‑20 contract, useful for assistants that need to drill down on a specific asset.
• Error reporting: Provide diagnostics when token data cannot be fetched, enabling graceful degradation in the assistant’s responses.
• Configurable token list: Developers can pre‑define known tokens in a simple JSON map, allowing the server to filter and present only relevant assets.

Real‑world scenarios that benefit from this MCP server include:

• Portfolio dashboards: An AI assistant can answer questions like “What is my total MONAD balance?” or “Show me all tokens in wallet X.”
• DeFi analytics: Assistants can explain yield farming positions by querying token balances and staking contracts via the server’s endpoints.
• On‑chain compliance: By exposing token holdings, an assistant can flag suspicious assets or provide audit trails to regulators.
• Educational tools: Students learning about blockchain can interact with the server through an AI tutor to explore wallet contents in a guided manner.

Integration into existing AI workflows is seamless. Once the server is running, an assistant simply sends a request to the endpoint (or any of its sub‑routes) and receives a JSON payload. The assistant’s MCP client can then feed this data into its prompt or use it to generate a structured response. Because the server is stateless and language‑agnostic, it works with any MCP‑compatible AI framework, whether built on Claude, GPT, or a custom model.

What sets the Monad MCP Server apart is its focus on the Monad Testnet—a network designed for experimentation and rapid iteration. By providing a dedicated MCP interface, developers can prototype AI‑powered blockchain applications without waiting for mainnet readiness. The server’s modular architecture also invites future enhancements such as NFT support, caching layers for low‑latency responses, and transaction analytics—all of which can be added without disrupting the core API contract.