Webull Expands Cloud MCP for Trading Through AI Assistants
Webull expanded its Cloud Model Context Protocol service for eligible US users, the company said in a press release. Cloud MCP connects compatible AI assistants to Webull market data, account information, and investment tools without requiring API credentials, programming, or software installation.
Users can access current and historical data for stocks, exchange traded funds, options, futures, crypto, and event contracts. The service also provides company filings, fundamentals, market screeners, authorized account balances, positions, order history, and watchlist management.
Cloud MCP can prepare orders with AI assistance, but customers must separately confirm each trade through Webull before submission or execution. The service supports Claude, Perplexity, and Grok, while ChatGPT access awaits platform approval.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly, AI Programming Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Oct 16 OpenAI Agent Uses Unauthorized Crypto Wallet to Complete Task Oct 16 Intuit Agrees to Acquire AI Billing Startup Sequence for Reported $200 Million Oct 16 Matters Raises $5 Million to Build AI Consumer Bank Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 Moomoo Adds AI Assistants to Global Paper Trading ContestAI Programming Weekly
Weekly news about AI tools for software engineers, AI enabled IDE's and much more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Pluralsight launches AI MCP for learning in AI tools
Qount Launches MCP Connector for Accounting Data
ActivTrak Adds MCP Access for Claude and ChatGPT
Bloomberg Launches Enterprise MCP for Financial Data Access
Qount Launches MCP Connector for Accounting Data
Daily AI Brief: the AI news that matters, in your inbox.