Robinhood RWA Intelligence

Robinhood RWA Intelligence gives AI agents a dedicated MCP for structured real-world-asset and tokenized-asset research. It is designed for machines that need current market context in a predictable tool schema instead of scraping scattered narrative pages.

When an agent should use it

Use this MCP for RWA intelligence, tokenized asset research, market context, asset comparison, structured evidence gathering and workflows involving real-world assets represented on-chain. The agent should discover the current tools and let the live MCP schema define supported inputs and outputs.

Canonical MCP: https://sml-robinhood-rwa-intelligence.onrender.com/mcp

Start with MCP initialization and tools/list. Choose a tool only when its live description matches the research task; do not infer capabilities from old directory copy or a hard-coded ticker list.

Evidence rule: structured market evidence is returned as data for analysis, not as a promise of investment performance or autonomous trade execution.

ScriptMasterLabs MCP stack · buyer evidence · machine instructions