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COOCON Boosts AI Data Integration, Eyes Global Standard for AI Agents

South Korean data firm COOCON is expanding its Model Context Protocol (MCP) data business to facilitate AI agent integration. This move aims to transform financial and public data into AI-ready formats, anticipating significant growth.

  • COOCON is converting existing financial and public data APIs into MCP format for direct AI agent utilisation.
  • The company plans to launch a 'Dedicated AI-Ready Data Zone' in July, starting with 30 MCP products and expanding to over 100 by year-end.
  • COOCON has joined the Agentic AI Foundation (AAIF) and the MCP Working Group to help shape global AI standards.
  • This expansion is expected to diversify COOCON's revenue and strengthen its position in the evolving AI ecosystem.
  • The Model Context Protocol (MCP) is a standard communication specification enabling AI agents to query and use external data directly.

South Korean business data platform COOCON has announced a significant acceleration of its Model Context Protocol (MCP)-based data business, positioning itself as a key data hub for the rapidly evolving AI agent era. The company, which boasts over two decades of experience in collecting and connecting data across various sectors including finance, public services, logistics, and telecommunications, aims to transform its extensive data assets into a format directly usable by AI agents.

The Model Context Protocol, introduced by Anthropic in November 2024, is a standardised communication specification designed to enable AI agents to directly query and utilise external data and systems. As the artificial intelligence industry increasingly shifts towards autonomous AI agents that interact with external systems to perform tasks, the MCP-based ecosystem is expanding rapidly. Global payment giants like PayPal and Stripe are already exploring ways to allow AI agents to execute payments directly through their existing infrastructure, highlighting the growing importance of such standardised protocols.

COOCON plans to launch a "Dedicated AI-Ready Data Zone" on its business data platform, COOCON.NET, in July. This initiative will initially feature approximately 30 MCP products, with plans to expand the lineup to over 100 products by the end of the year, and eventually roll out its entire product portfolio by 2027. This phased approach is intended to allow companies, both those new to AI and existing clients undergoing AI transformation, to seamlessly integrate necessary external data in a standardised manner, bypassing manual integration processes.

To solidify its role in the global AI standards landscape, COOCON joined the Linux Foundation's global consortium, the Agentic AI Foundation (AAIF), on 1st June. Furthermore, the company will participate in the MCP Working Group alongside over 180 prominent organisations, including Anthropic, OpenAI, Google, Microsoft, and Stripe. This involvement underscores COOCON's commitment to shaping global standards and enhancing its competitive edge within the AI industry.

The company anticipates that its MCP-based data business will significantly bolster its financial performance. As AI agents drive continuous data requests and workflow automation, the expected surge in data call volumes and a dedicated AI product lineup are projected to diversify COOCON's revenue streams. CEO Kim Jong-hyun emphasised that COOCON's unique business structure, encompassing both data and payment services, provides a distinct advantage, with plans to expand AI agent-compatible payment products linked to both domestic and international payment businesses.

Source: COOCON

Why this matters: The standardisation of how AI agents access data could accelerate AI adoption across industries, potentially leading to more efficient digital services and business operations. This development signals a major shift in how businesses interact with and leverage AI.

What this means for you: What this means for you: While COOCON is a South Korean company, the broader trend of AI agents gaining direct access to data could impact UK households and businesses through more sophisticated AI-powered services, potentially streamlining financial transactions, customer support, and other digital interactions in the future. UK businesses might see new tools emerge that leverage these standardised protocols to improve efficiency.

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