This topic examines the leading AI-enabled platforms and Model Context Protocol (MCP) servers used to support tokenization, real‑world asset (RWA) workflows, and digital‑asset compliance in 2025. As institutions and token issuers increasingly digitize real assets, interoperable AI tooling and reliable market data are central to valuation, provenance, risk assessment, and regulatory reporting. MCP servers act as the glue between natural‑language AI agents and blockchains or DeFi stacks: Ton Blockchain MCP and Bsc‑mcp expose chain‑specific querying, deployment, and on‑chain interaction capabilities; Edwin’s MCP focuses on a unified interface for interacting with DeFi protocols across EVM, Solana and others; Heurist Mesh Agent links distributed Web3 analysis APIs into agent workflows. Token Metrics provides the market‑data and analytics layer via MCP function calls, enabling automated pricing signals, on‑demand analytics and back‑testing for tokenized assets. Together these tools illustrate current trends: AI agents orchestrating cross‑chain operations, function‑call interfaces that reduce integration friction, and tighter coupling of market data with compliance checks (KYC/AML flagging, audit trails, proof of custody). The ecosystem is timely because 2025 sees growing commercial issuance of RWAs alongside heightened regulatory scrutiny, making explainable, auditable pipelines and API‑level data quality essential. Limitations remain — fragmented regulation, variable oracle/data reliability, and privacy constraints — so practical deployments prioritize standardized interfaces, provenance metadata, and hybrid on‑chain/off‑chain controls. This topic is useful for teams evaluating how MCP servers, crypto market data APIs, and DeFi integration libraries combine to automate token lifecycle, risk monitoring, and compliance workflows in multi‑chain environments.