If you want to build a crypto research assistant for monitoring markets and documenting trading logic, try this combination. Claude Code works, or you can delegate the setup to Codex, which supports MCP. Start by using public market data to run a simulated account—no wallet integration, no real funds. Record every reason for buying, selling, and where your analysis went wrong; this creates a foundation for later review. Refer to these three repositories: DexPaprika MCP: Connects to multi-chain DEX data to check tokens, liquidity pools, trades, and historical prices. https://t.co/JixSDAX3sH CCXT MCP Server: Fetches exchange market data including prices, K-lines, and trading volume. This setup uses only public, read-only API endpoints. https://t.co/NtPx9zXKyJ Crypto Claude Desk: If you want to minimize framework development, reference its multi-agent research and simulated trading architecture. https://t.co/8nyESq4f9m The first two handle data ingestion; the third serves as a reference when needed. Public market data requires no exchange API keys, but model usage, runtime environment, and data quotas must be accounted for separately. Once the tools are connected, feed the following to Claude Code or Codex: