MCP Ethereum Address Info Server

Overview

The MCP Ethereum Address Info Server is a specialized Model Context Protocol (MCP) endpoint that delivers real‑time data about Ethereum addresses across multiple blockchains. By exposing a set of RESTful routes and a Server‑Sent Events (SSE) stream, the server allows AI assistants to query address balances, transaction histories, and other on‑chain metrics while also receiving instant updates whenever a watched address changes state. This dual capability solves the common developer pain point of having to poll external APIs for fresh data, thereby reducing latency and bandwidth consumption.

For developers building AI‑powered financial tools, portfolio trackers, or compliance monitoring solutions, the server’s real‑time feed is invaluable. An AI assistant can subscribe to a list of addresses, receive a continuous stream of updates, and trigger further actions—such as generating alerts or updating dashboards—without needing to re‑initiate a query. The ability to manage subscriptions through simple HTTP calls ( and ) means that client applications can dynamically adjust monitoring scopes based on user interactions or evolving risk profiles.

Key features of the server include:

• Health monitoring () to ensure uptime and quick diagnostics.
• A MCP tool call endpoint () that exposes the and tools, enabling structured JSON‑RPC interactions from AI assistants.
• A robust SSE infrastructure () that assigns a unique client ID upon connection, allowing fine‑grained subscription management.
• Endpoints to inspect connected clients () and to control subscription lists, which is especially useful for multi‑tenant or multi‑user deployments.

Typical use cases span real‑time portfolio management, automated compliance checks for regulatory bodies, and dynamic risk assessment in decentralized finance (DeFi) platforms. For example, a compliance AI can subscribe to all addresses belonging to a regulated entity, automatically receive any new transaction events, and flag suspicious activity without manual polling. In DeFi analytics, an AI assistant can aggregate on‑chain metrics for a set of liquidity pool addresses and update visualizations instantly as the underlying smart contracts emit new data.

Integration into existing AI workflows is straightforward: an assistant can invoke through MCP to fetch the current state of an address, then subscribe to its SSE channel for ongoing updates. Because the server is built on standard HTTP and SSE, it can be deployed behind existing API gateways or microservice architectures without requiring specialized protocols. Its lightweight nature and clear separation of concerns make it a compelling component for any AI system that needs timely, on‑chain Ethereum data.