A local-first financial auditor using IBM Granite, MCP, and SQLite
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A local-first financial auditor using IBM Granite, MCP, and SQLite launched on January 1, 2026 with 20 votes, #724 of 14,584 launches that month and more than 90% of that year's launches.
In plain words
A local-first financial auditor built with IBM Granite and SQLite, designed to run entirely on a user's device without cloud dependency. It uses the Model Context Protocol (MCP) to integrate with local financial data and tools. The application performs auditing and analysis of financial records, making it suitable for individuals and small organizations seeking privacy-focused financial management and verification. All processing and data storage happen locally.
written from the facts on this page · September 2026
From the sources
An intelligent, privacy-first financial analysis platform that leverages Local LLMs and the Model Context Protocol (MCP) to transform raw bank data into verified financial insights. This project goes beyond simple keyword tagging. It uses an Agentic architecture where the LLM acts as a Senior Auditor —intelligently choosing between database tools to provide 100% mathematically accurate summaries while ignoring internal transfers and credit card settlements. Local & Private Runs entirely on your machine via Ollama. Your financial data never leaves your local environment. Agentic Reasoning Uses llama3.1:8b to interpret natural language and map it to specific SQL-backed tools. Accurate…from github.com
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