This topic covers AI platform infrastructure that connects large language models and autonomous agents to Web3 systems for on‑chain identity, cross‑chain DeFi integrations and tokenization of real‑world assets (RWA). In practice these platforms use Model Context Protocol (MCP) servers and market data APIs so LLMs can read on‑chain state, call protocol actions across EVM and non‑EVM networks, and ground valuations or compliance checks in reliable financial data. The solutions listed illustrate the stack: Edwin’s MCP server (part of the Edwin DeFAI Layer) is a TypeScript bridge that lets AI agents interact with DeFi protocols across EVM, Solana and other chains; the Solana Agent Kit provides an open, LangChain‑ready MCP toolkit for 60+ Solana actions; Heurist Mesh Agent links Heurist Mesh APIs to Claude and other models to bring a network of purpose‑built Web3 agents into analysis workflows; Ember AI (Vibekit’s MCP layer) standardizes cross‑chain execution and modular tooling for autonomous strategy execution; Octagon supplies real‑time private and public market intelligence via an MCP integration to support research, RWA valuation and regulatory reporting. Why now (2025‑11‑26): tokenized RWAs and on‑chain identity primitives are gaining traction, while LLMs are increasingly used to automate trading, compliance and asset onboarding workflows. Combining DeFi protocol integrations with robust crypto market data APIs addresses critical needs: actionability (execute cross‑chain), accuracy (timely market intelligence) and provenance (on‑chain attestations). The result is a pragmatic, interoperable toolset for teams building guarded, auditable AI‑assisted Web3 financial applications without overclaiming capabilities.