

AI Real Talk Series: Stop chasing clicks, start feeding AI with MCP
Join us for an online discussion to explore Model Context Protocol’s (MCP) dual opportunity for media: transforming content into queryable infrastructure for AI systems, while revolutionizing how newsrooms access and analyze data internally.
As AI assistants become the primary gateway to information, MCP enables media organizations to build servers that provide structured content directly to LLMs – ensuring attribution, accuracy and potential API revenue. Simultaneously, newsrooms can use MCP clients to seamlessly connect AI tools to court records, government databases and internal archives for enhanced reporting.
We'll tackle practical questions: How do news MCP servers handle real-time updates? What are the licensing implications? Can this create sustainable revenue through API access? What MCP servers are useful to explore for connecting to our internal AI platforms? How does this transformation affect media and journalism's public mission?
Panelists:
Florent Daudens, Press Lead, Hugging Face
Shema Kalisa, Co-founder, Unido Publishing
Chetan Nandakumar, Founder and CEO, Fluora.ai
Jeff Smith, CEO and Co-founder of 2nd Set AI