MCP server for Excel operations with Supabase Storage integration
Project description
Excel MCP Server with Supabase Storage
A powerful MCP (Model Context Protocol) server for Excel operations with seamless Supabase Storage integration. Handle Excel files programmatically without requiring Microsoft Office or WPS installation.
๐ Features
- โ Excel Parsing: Convert Excel files to JSON with complete formatting information
- โ Excel Generation: Create formatted Excel files from JSON data
- โ Advanced Formatting: Modify cell styles, merge cells, adjust dimensions
- โ Formula Support: Execute and calculate 20+ common Excel formulas
- โ Multi-Sheet Operations: Merge multiple Excel files into a single workbook
- โ Supabase Integration: Direct read/write operations with Supabase Storage
- โ Zero Dependencies: No Microsoft Office or WPS required
- โ Cross-Platform: Works on Windows, Linux, and macOS
๐ Quick Start
Installation
Option 1: Install from GitHub (Recommended for now)
# Install and run directly
uvx --from git+https://github.com/1126misakp/Excel-MCP-Server-with-Supabase-Storage mcp-excel-supabase
Option 2: Install from PyPI (Coming soon)
# Once published to PyPI, you can use:
uvx mcp-excel-supabase
Option 3: Install from local source
# Clone the repository
git clone https://github.com/1126misakp/Excel-MCP-Server-with-Supabase-Storage
cd Excel-MCP-Server-with-Supabase-Storage
# Install in development mode
pip install -e .
# Run the server
mcp-excel-supabase
Configuration
- Create a
.envfile in your project directory:
cp .env.example .env
- Edit
.envand add your Supabase credentials:
SUPABASE_URL=https://yourproject.supabase.co
SUPABASE_KEY=your-service-role-key-here
Claude Desktop Configuration
Add to your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
If installing from GitHub:
{
"mcpServers": {
"excel-supabase": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/1126misakp/Excel-MCP-Server-with-Supabase-Storage",
"mcp-excel-supabase"
],
"env": {
"SUPABASE_URL": "https://yourproject.supabase.co",
"SUPABASE_KEY": "your-service-role-key-here"
}
}
}
}
If installing from PyPI:
{
"mcpServers": {
"excel-supabase": {
"command": "uvx",
"args": ["mcp-excel-supabase"],
"env": {
"SUPABASE_URL": "https://yourproject.supabase.co",
"SUPABASE_KEY": "your-service-role-key-here"
}
}
}
}
๐ Transport Modes
The server supports three transport modes for different use cases:
1. STDIO (Default) - For Claude Desktop and CLI tools
{
"mcpServers": {
"excel-supabase": {
"command": "uvx",
"args": ["mcp-excel-supabase"],
"env": {
"SUPABASE_URL": "https://yourproject.supabase.co",
"SUPABASE_KEY": "your-service-role-key-here"
}
}
}
}
2. HTTP - For web-based clients (Recommended for Cherry Studio)
{
"mcpServers": {
"excel-supabase": {
"command": "uvx",
"args": ["mcp-excel-supabase"],
"env": {
"SUPABASE_URL": "https://yourproject.supabase.co",
"SUPABASE_KEY": "your-service-role-key-here",
"MCP_TRANSPORT": "http",
"MCP_HOST": "127.0.0.1",
"MCP_PORT": "8000"
}
}
}
}
Then connect to: http://127.0.0.1:8000/mcp/
3. SSE - For legacy SSE clients
{
"mcpServers": {
"excel-supabase": {
"command": "uvx",
"args": ["mcp-excel-supabase"],
"env": {
"SUPABASE_URL": "https://yourproject.supabase.co",
"SUPABASE_KEY": "your-service-role-key-here",
"MCP_TRANSPORT": "sse",
"MCP_HOST": "127.0.0.1",
"MCP_PORT": "8000"
}
}
}
}
Then connect to: http://127.0.0.1:8000/sse
Environment Variables:
MCP_TRANSPORT: Transport mode (stdio|http|sse), default:stdioMCP_HOST: Server host for HTTP/SSE, default:127.0.0.1MCP_PORT: Server port for HTTP/SSE, default:8000
๐ ๏ธ Available Tools
This server provides 12 MCP tools for comprehensive Excel operations:
| Tool | Description |
|---|---|
parse_excel_to_json |
Parse Excel files to JSON format |
create_excel_from_json |
Generate Excel files from JSON data |
modify_cell_format |
Edit cell formatting (fonts, colors, borders) |
merge_cells |
Merge cell ranges |
unmerge_cells |
Unmerge cell ranges |
set_row_heights |
Adjust row heights |
set_column_widths |
Adjust column widths |
manage_storage |
Upload/download files to/from Supabase |
set_formula |
Set Excel formulas in cells |
recalculate_formulas |
Recalculate all formulas in a workbook |
manage_sheets |
Create, delete, rename, copy, move sheets |
merge_excel_files |
Merge multiple Excel files |
See API Reference for detailed documentation.
๐ Usage Examples
Parse Excel to JSON
# Parse a local file
result = parse_excel_to_json(
file_path="data/sales_q1.xlsx",
extract_formats=True
)
# Access parsed data
workbook = result["workbook"]
sheets = workbook["sheets"]
Create Excel from JSON
# Create a simple Excel file
workbook_data = {
"sheets": [{
"name": "Sales",
"rows": [
{"cells": [
{"value": "Product", "row": 1, "column": 1},
{"value": "Revenue", "row": 1, "column": 2}
]},
{"cells": [
{"value": "Product A", "row": 2, "column": 1},
{"value": 1000, "row": 2, "column": 2}
]}
]
}]
}
create_excel_from_json(
workbook_data=workbook_data,
output_path="output/sales.xlsx",
apply_formats=True
)
Format Cells
# Format header row
modify_cell_format(
file_path="data/sales.xlsx",
sheet_name="Sheet1",
cell_range="A1:J1",
format_spec={
"font": {"name": "Arial", "size": 12, "bold": True, "color": "FFFFFF"},
"fill": {"color": "4472C4"},
"alignment": {"horizontal": "center", "vertical": "center"}
}
)
Set Formulas
# Set a SUM formula
set_formula(
file_path="data/sales.xlsx",
sheet_name="Sheet1",
cell="D10",
formula="=SUM(D2:D9)"
)
# Recalculate all formulas
recalculate_formulas(
file_path="data/sales.xlsx"
)
Merge Excel Files
# Merge quarterly reports
merge_excel_files(
file_paths=["q1.xlsx", "q2.xlsx", "q3.xlsx", "q4.xlsx"],
output_path="annual_report.xlsx",
handle_duplicates="rename" # or "skip" or "overwrite"
)
Supabase Storage Operations
# Upload file to Supabase
manage_storage(
operation="upload",
local_path="output/report.xlsx",
remote_path="reports/2024/annual.xlsx"
)
# Download file from Supabase
manage_storage(
operation="download",
remote_path="reports/2024/annual.xlsx",
local_path="downloads/annual.xlsx"
)
# List files
manage_storage(
operation="list",
remote_path="reports/2024/"
)
For more examples, see the Examples Directory.
๐ Documentation
- Product Requirements Document (PRD)
- API Reference - Complete API documentation for all 12 tools
- Usage Examples - 6 end-to-end examples
- Architecture - System architecture and design patterns
- Development Guide - Contributing and development workflow
- Troubleshooting - Common issues and solutions
๐ ๏ธ Development
Local Setup
# Clone the repository
git clone https://github.com/1126misakp/Excel-MCP-Server-with-Supabase-Storage
cd Excel-MCP-Server-with-Supabase-Storage
# Install dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Run linter
ruff check .
# Format code
black .
Project Structure
Excel-MCP-Server-with-Supabase-Storage/
โโโ src/mcp_excel_supabase/ # Source code
โ โโโ excel/ # Excel operations
โ โโโ storage/ # Supabase integration
โ โโโ utils/ # Utilities
โโโ tests/ # Test suite
โโโ docs/ # Documentation
โโโ PRD.md # Product Requirements
๐งช Testing
# Run all tests
pytest
# Run with coverage
pytest --cov
# Run specific test file
pytest tests/test_parser.py
๐ Requirements
- Python 3.9+
- Supabase account with Storage API access
- No Microsoft Office or WPS installation required
๐ค Contributing
Contributions are welcome! Please see Development Guide for guidelines.
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
๐ Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
๐บ๏ธ Roadmap
Version 1.0 (Current)
- โ Core Excel parsing and generation
- โ Supabase Storage integration
- โ Basic formatting support
- โ 20+ common formulas
Version 1.1 (Planned)
- ๐ Chart generation support
- ๐ Conditional formatting
- ๐ Data validation rules
- ๐ Advanced formula functions
- ๐ WebUI control panel
๐ Related Projects
- openpyxl - Excel file operations
- Supabase - Cloud storage backend
- MCP Protocol - Model Context Protocol
๐ Performance
Benchmarked on a standard development machine (Intel i5, 8GB RAM):
| Operation | Target | Actual | Status |
|---|---|---|---|
| Parse 1MB file | <2s | 0.598s | โ 3.3x faster |
| Generate 1000 rows | <3s | 0.026s | โ 115x faster |
| Merge 10 files | <8s | 0.117s | โ 68x faster |
| Batch 20 files | <10s | 0.192s | โ 52x faster |
| Format 1000 cells | <0.5s | 0.089s | โ 5.6x faster |
Performance Optimizations:
- โ LRU caching for parsed files (128 entries)
- โ Thread pool concurrency (8 workers)
- โ Streaming I/O for large files
- โ Memory-efficient processing (5000 rows = +0.04MB)
Made with โค๏ธ by 1126misakp
This project is actively maintained and welcomes contributions from the community.
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