Artificial Intelligence Shaping Finance: An Evolution from MCP to Komet, Demonstrating AI's Impact on Financial Sector
In the ever-evolving landscape of Artificial Intelligence (AI), a new standardized communication protocol is making waves. The Model Context Protocol (MCP), introduced in November 2024, has quickly gained traction, with major tech companies like Google, OpenAI, Microsoft, AWS, Atlassian, and others adopting it.
As of mid-2025, over 5,000 active MCP servers are in operation, and more than 1,000 community MCP implementations are available. The protocol, designed to connect AI agents to diverse data sources, CRMs, ERPs, databases, and messaging tools at scale, is set to revolutionize the way AI operates in various industries, particularly finance.
MCP supports standardized JSON-RPC 2.0 communication, bidirectional interactions, detailed metadata for intelligent tool use, and a composable architecture that allows complex workflows across distributed services. It's like USB-C for AI, streamlining connections and reducing integration complexity from quadratic to linear effort as agent counts grow.
However, security concerns remain a critical focus. Vulnerabilities like prompt injection and tool poisoning are being addressed through improved defense mechanisms and ongoing protocol validation. Enhanced authentication, access control, audit capabilities, and secure authorization flows are being developed to safeguard AI operations and data.
The rising adoption of MCP and agentic AI points to practical applications in banking, such as real-time decision support, fraud detection, customer service automation, and integration of AI agents with bank databases and third-party financial systems for enhanced responsiveness and insight.
Maik Klotz, Co-Founder of Payment & Banking, is at the forefront of these developments. Responsible for marketing, strategy, and events, particularly Transactions.io, Klotz is also a host of the AI in Finance podcast, alongside Sascha Dewald. The podcast provides insights into the world of artificial intelligence in finance, discussing topics like the MCP protocol, Claude for Finance, geopolitical aspects of AI, practical AI applications in banking, and online security.
While specific updates about Claude for Finance are limited, its integration in finance likely fits within this emerging paradigm, automating repetitive analyst tasks and delivering well-researched reports quickly. AI agents and smart devices are fundamentally changing work processes and the financial landscape.
Online security and data protection are essential for AI implementation in the finance sector. Efforts are underway to enhance authentication, access control, audit capabilities, and secure authorization flows to safeguard AI operations and data. Best practice guides and developer resources aim to help implement secure MCP deployments, and continuous protocol validation is emphasized to maintain robust security as complexity grows.
For deeper details on any specific area, please consult the relevant sources. It's important to note that the AI in Finance podcast is not a source of predictions or fortune telling, but rather an expression of the hosts' opinions and thoughts.
[1] https://www.example.com/mcp-protocol-1 [2] https://www.example.com/mcp-protocol-2 [3] https://www.example.com/mcp-protocol-3 [4] https://www.example.com/mcp-protocol-4 [5] https://www.example.com/mcp-protocol-5
- The Model Context Protocol (MCP), a new communication standard in the tech industry, is set to revolutionize the finance sector by enabling AI agents to connect with various financial systems and databases, potentially transforming banking through real-time decision support, fraud detection, customer service automation, and integration with third-party financial systems.
- In the realm of personal finance and education-and-self-development, the AI in Finance podcast, hosted by Maik Klotz and Sascha Dewald, offers insights into the world of artificial intelligence in finance, discusses topics such as the MCP protocol, practical AI applications in banking, online security, and geopolitical aspects of AI.
- As the finance industry adopts AI, securing communications and data is of paramount importance. Efforts are being made to enhance authentication, access control, audit capabilities, and secure authorization flows to safeguard AI operations and personal-finance data, with continuous protocol validation and best practice guides being developed to maintain robust security in the face of growing complexity. [Web resources: 1, 2, 3, 4, 5]
