Overview

NNS‑MCP is a Model Context Protocol server that bridges AI assistants with the Nad Name Service (NNS) on the Monad blockchain. By exposing a set of Web3‑focused tools, it lets conversational agents resolve human‑readable .nad names to blockchain addresses, retrieve wallet profiles, and perform token transfers—all within a single API call. This tight coupling removes the need for developers to build custom adapters or maintain separate SDKs, enabling instant access to decentralized identity and finance features directly from the assistant’s context.

The server offers three core capabilities. First, translates a .nad domain into its underlying Monad address, allowing the assistant to look up any user‑owned asset or contract. Second, pulls public metadata—such as display name, avatar, and social links—from a wallet address, giving the assistant richer context about participants in a conversation. Third, initiates a MON token transfer, enabling the assistant to execute simple payments or rewards on behalf of the user. These tools are exposed through the MCP specification, so any compliant client can invoke them with a standard JSON payload and receive deterministic responses.

For developers building AI‑powered Web3 experiences, NNS‑MCP simplifies the integration loop. Instead of embedding blockchain libraries and handling transaction signing manually, a developer can register the server with an AI assistant and let it query or transact via natural language prompts. This is particularly valuable in scenarios such as decentralized marketplaces, identity‑verified chatbots, or automated reward systems where real‑time blockchain data is required. The server’s stateless design also means it can be scaled behind a CDN or deployed as a lightweight container, fitting neatly into modern microservice architectures.

What sets NNS‑MCP apart is its focus on the Monad ecosystem while adhering to the MCP standard. It provides a single, well‑defined entry point for all NNS interactions, reducing friction for both developers and end users. The ability to resolve names, fetch profiles, and transfer tokens in one place eliminates the need for multiple SDKs or API keys. Consequently, AI assistants can deliver seamless, trust‑worthy Web3 functionality—such as verifying a user’s identity or paying out rewards—without exposing sensitive private keys or complicating the user experience.