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Financial agent on MCP, SQL, and executable skills

How KT.Team moved OSNO-VA's financial logic from spreadsheets into MCP, SQL, and executable skills for AI agents.

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Capital Group
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Tochno
Dogma
Sber City
FM Logistic
Danone
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Key takeaways

  • How KT.Team moved OSNO-VA's financial logic from spreadsheets into MCP, SQL, and executable skills for AI agents.
  • Delivered by KT.Team. The CIS source page carries the full project story, metrics and interface screenshots.

Challenge

OSNO-VA needed to give AI agents reliable access to financial data and calculation logic. The spreadsheet approach proved too fragile for an agentic scenario: rate limits, retries and brittle logic hurt speed and reliability. KT.Team split the universal data platform from the organizational financial skills: data is moved into SQL/a database, the agent gets access through MCP, and the calculation business logic is offloaded into executable skills and scripts.

OSNO-VA case - financial agent on MCP
Financial AI agent receives data via MCP

Solution

This approach lets users maintain financial logic without constant engineer involvement, while the agent performs checks and calculations according to reproducible rules. The result is an AI-native financial workflow where the agent does more than read a spreadsheet: it calls verifiable tools, receives data through MCP, and works with governed calculation logic.

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