Solscan MCP Server

The solscan-mcp server bridges the gap between AI assistants and real‑time Solana blockchain data by exposing a lightweight Rust implementation of the Model Context Protocol. Instead of writing custom API wrappers or parsing raw JSON, developers can simply invoke high‑level tools that query the Solscan Pro API. This enables AI agents to answer questions about token balances, account histories, and transaction details with minimal latency and maximum reliability.

At its core, the server offers a set of tools that map directly to Solscan’s endpoints. Each tool accepts natural‑language prompts, translates them into structured API calls, and returns the results in a format that Claude or other LLMs can ingest. For example, a prompt like “Show me the last 10 transactions for address X” is automatically converted into an HTTP request to Solscan, and the response is streamed back as a concise table. This abstraction removes boilerplate code for developers and lets them focus on higher‑level logic such as fraud detection, portfolio analytics, or automated compliance checks.

Key capabilities include:

• Token information retrieval – fetch metadata, supply statistics, and holder lists.
• Account activity exploration – list recent actions, token transfers, and program interactions for any Solana address.
• Transaction detail extraction – access raw signatures, logs, and decoded instruction data.
• Batch querying – submit multiple addresses or transaction hashes in a single request, ideal for large‑scale investigations.

These features make the MCP especially valuable in security and audit workflows. For instance, an investigator can upload a CSV of suspicious addresses, enrich the context with additional research from another MCP (such as perplexity-mcp), and then let solscan‑mcp perform a comprehensive audit of each wallet’s history, flagging patterns like MEV exploitation or dusting attacks. The results can be automatically formatted into a report that the AI assistant delivers directly to the user.

Integration is straightforward: once registered in the client’s configuration, any LLM can call the solscan‑mcp tools as if they were built‑in functions. The server handles authentication via the environment variable, ensures graceful error handling, and keeps the flow uninterrupted even when the underlying API experiences hiccups. Because it is written in Rust, the MCP delivers low overhead and high throughput, making it suitable for production environments where latency matters.

In summary, solscan‑mcp transforms Solana blockchain data into an AI‑friendly interface. By abstracting API complexity, providing robust tooling, and enabling seamless integration into LLM workflows, it empowers developers to build sophisticated blockchain applications—ranging from portfolio dashboards to real‑time compliance monitoring—with minimal friction.