Wallet Inspector MCP

Wallet Inspector MCP

The Wallet Inspector MCP server gives AI assistants instant, cross‑chain visibility into any wallet’s balances and on‑chain activity. By exposing a unified API that queries multiple EVM networks—Ethereum, Polygon, Binance Smart Chain, Base, Arbitrum, and more—as well as Solana, it removes the need for developers to write bespoke adapters or maintain separate data pipelines. For AI agents that must answer user questions about crypto holdings, audit accounts, or track transaction history, this server turns raw blockchain data into human‑readable tables and structured text with a single natural‑language request.

What Problem Does It Solve?

Blockchain data is fragmented across thousands of RPC endpoints, each with its own quirks and rate limits. Developers typically need to spin up chain‑specific clients, handle API keys, and normalize disparate response formats. The Wallet Inspector MCP consolidates these complexities behind a single, well‑defined protocol. AI assistants can issue a simple query like “Show the balance for wallet 0xABC on all chains” and receive an aggregated, formatted report without any additional plumbing. This dramatically reduces the cognitive load for both AI developers and end users, enabling rapid prototyping of crypto‑aware applications.

Core Capabilities

• Multi‑Chain Balance Retrieval – The server queries all supported networks for a given address, returning balances in both token units and USD equivalents. Results are presented as clean ASCII tables that can be embedded directly into chat or reports.
• On‑Chain Activity & Transaction History – For EVM chains, the server can list recent transfers, token movements, and contract interactions. Users can specify limits or filter by chain, providing a concise snapshot of recent wallet activity.
• Flexible Output Formats – All data is delivered in structured plain text, making it easy for downstream tools or AI agents to parse and transform further. The server also supports ASCII tables, which are ideal for terminal‑based interfaces.
• Extensibility – While the current implementation covers major EVM chains and Solana, the architecture is designed to add new networks or data sources (e.g., additional analytics APIs) with minimal effort.

Real‑World Use Cases

1. Crypto Portfolio Dashboards – Embed the MCP into a chatbot that lets users query their holdings across all wallets in one conversation, saving them from switching between explorers.
2. Audit and Compliance – Security teams can ask an AI assistant to pull the latest transaction history for a suspect address, accelerating investigations.
3. DeFi Onboarding – New users can quickly see which chains a wallet is active on, helping them decide where to stake or lend.
4. Financial Reporting – Automated reporting tools can call the MCP to generate balance sheets for multiple addresses, ensuring consistency across reports.

Integration with AI Workflows

The server is fully MCP‑compatible, meaning any client that speaks the protocol—Claude Desktop, CLI tools, or custom integrations—can consume its capabilities. Developers can wire the server into a larger AI workflow that, for example, first verifies an address’s balance before triggering a token transfer or sending a notification. Because the output is already formatted for human consumption, AI assistants can respond with ready‑to‑display tables or embed the data into natural language explanations.

Standout Advantages

• Zero‑Code Querying – End users can ask plain English questions; the server translates them into precise blockchain queries.
• Unified Experience – A single endpoint handles all chains, eliminating the need for multiple adapters or SDKs.
• High Availability – Built on robust Python tooling and leveraging the Dune SIM API for efficient data retrieval, it offers reliable performance even under heavy query loads.
• Developer‑Friendly – The clear documentation and straightforward integration steps make it approachable for teams already familiar with MCP concepts.

In sum, the Wallet Inspector MCP turns complex, multi‑chain blockchain data into an accessible resource for AI assistants, empowering developers to build richer, more responsive crypto applications without wrestling with low‑level blockchain details.