finance MCP Server
Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.
Discovered via github-seeds:mcp-hot and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Extracts data from a workbook.
Product A
Yes / No
Reads cells from a specified range.
160
D C --> H D --> E E --> F F --> G G -->
Applies editing patches to a workbook.
150
160
Creates a new workbook.
90
Postal code
Reads extracted JSON chunks.
110
JPY
Captures sheet images.
120
150
Validates input data.
120
Reads data cell by cell.
130
J H --> J I --> J ``` ```` ## Example 2: A General Application Form ### Excel data  ### ExStruct JSON (Truncated for brevity) ```json { "book_name": "ja_form.xlsx", "sheets": { "Sheet1": { "rows": [ { "r": 1, "c": { "0": "介護保険負担限度額認定申請書" } }, { "r": 3, "c": { "0": "（申請先）", "7": " 年 月 日" } }, { "r": 4, "c": { "1": "X市長 " } }, ... ], "table_candidates": ["B25:C26", "C37:D50"], "merged_cells": { "schema": ["r1", "c1", "r2", "c2", "v"], "items": [ [55, 5, 55, 10, "申請者が被保険者本人の場合には、下記について記載は不要です。"], [54, 8, 54, 10, " "], [51, 5, 52, 6, "有価証券"], ... ] } } } } ``` ### ExStruct JSON -> Markdown via LLM reasoning ```md # Long-Term Care Insurance Burden Limit Certification Application (Submitted to) Year Month Day Mayor of City X Attach the related documents below and apply for certification of the burden limit for food and housing expenses. --- ## Insured Person Information
Reads cell formulas.
Value
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