CryptoQuant launches MCP server to plug on-chain data into AI models

CryptoQuant wants you to stop squinting at dashboards and start asking questions instead. The on-chain analytics firm has launched a Model Context Protocol (MCP) server that connects its data to large language models. In practice, a trader can ask an AI assistant about Bitcoin exchange flows the same way they’d ask it to summarize an email. What CryptoQuant actually built MCP is a protocol that lets LLMs and AI agents reach outside their training data and pull from external sources. CryptoQuant’s server exposes over 245 metrics covering real-time on-chain, market, and derivatives data. Those include MVRV, SOPR, exchange flows, and whale activity. For the uninitiated, MVRV and SOPR are ratios analysts use to gauge whether holders are sitting on gains or losses. Exchange flows track coins moving on and off trading platforms. Whale activity watches what the largest wallets are doing. The server handles natural-language queries in both English and Korean. That second language is a notable choice given how active Korean traders are in crypto markets. Asset coverage is broad. The server supports Bitcoin (BTC), Ethereum (ETH), TRX, XRP, various stablecoins, and ERC-20 tokens. CryptoQuant ...