Finanalyser FAQs

Question 1

What file formats and AI providers does Finanalyser support?

Accepted Answer

Finanalyser supports financial transaction data in both CSV and JSON file formats. For AI categorization, it seamlessly integrates with OpenRouter, OpenAI, and any other OpenAI-compatible API providers, offering great flexibility in model choice and cost optimization.

Question 2

How does Finanalyser categorize transactions?

Accepted Answer

It uses advanced AI models (like GPT-4, Claude, Gemini via OpenRouter or OpenAI) to intelligently categorize transactions based on description, amount, and context. Each categorization includes a confidence score, and a keyword-based fallback system ensures operation even without an active AI connection.

Question 3

What kind of financial insights can I get from Finanalyser?

Accepted Answer

Finanalyser offers comprehensive analysis including total income/expenses, net cash flow, detailed breakdowns by category, monthly trends, top spending areas, and flags low-confidence transactions for review, providing a complete financial overview.

Question 4

What is Finanalyser?

Accepted Answer

Finanalyser is an AI-powered Model Context Protocol (MCP) server designed to analyze financial transaction data from uploaded bank statements. It provides intelligent categorization, detailed insights, and spending pattern analysis.

Question 5

Is Finanalyser easy to integrate with existing tools?

Accepted Answer

Yes, Finanalyser is designed as a Model Context Protocol (MCP) server, making it straightforward to integrate with any MCP-compatible clients such as Claude, Zed, or Cursor. Installation involves simple Python steps for quick setup.

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