Self-evolving Excel analytics toolkit — MCP server + dashboard for Claude Desktop
Project description
Excel Analytics MCP Server
A self-evolving data analytics toolkit for Claude Desktop. Drop your Excel files in, ask questions in plain English, and build up a personal library of reusable analysis tools — no coding required.
What It Does
- Upload Excel/CSV files via a beautiful web dashboard
- Ask Claude questions about your data in natural language
- Save analyses as reusable tools you can run again and again
- Create custom tools that Claude can use on your behalf
- Everything stays local — your data never leaves your machine
Quick Install
bash install.sh
This will:
- Check for Python 3.10+ and install
uvif needed - Set up the
~/.excel-mcp/directory - Install all dependencies
- Configure Claude Desktop automatically
Then restart Claude Desktop and you're ready to go.
How to Use
1. Upload Your Data
Open the dashboard at http://localhost:8765 (available once Claude Desktop starts the server) and drag your Excel or CSV files into the upload zone.
2. Ask Claude Questions
In Claude Desktop, try prompts like:
- "What datasets do I have?"
- "Describe the sales table"
- "Show me the top 10 customers by revenue"
- "What's the average order value by month?"
- "Find all invoices over $5,000 from last week"
3. Save Reusable Analyses
When you find a useful query, ask Claude to save it:
- "Save this as a tool called 'Top Customers'"
- "Create a reusable analysis for monthly revenue trends"
4. Manage Your Tools
Visit the Tools tab in the dashboard to:
- View all your saved analyses and custom tools
- Edit tool parameters
- Test tools with different inputs
- Delete tools you no longer need
Dashboard
The web dashboard runs at http://localhost:8765 and provides:
- Data Manager — upload files, browse tables, preview data, see column stats
- Tool Workshop — view core tools, manage saved analyses, test tools with auto-generated forms
Architecture
Claude Desktop ←→ MCP Server (stdio) ←→ SQLite DB
↓
REST API (port 8765) ←→ Web Dashboard
The MCP server communicates with Claude Desktop via stdio, while a REST API runs in a background thread to power the dashboard. Both share the same SQLite database and tool registry.
Available Tools
Core Tools (always available)
| Tool | Description |
|---|---|
list_datasets |
Show all loaded tables |
describe_dataset |
Column info, types, stats |
query |
Run read-only SQL queries |
summarize |
Statistical summary of tables/columns |
Meta Tools (for building your toolkit)
| Tool | Description |
|---|---|
save_analysis |
Save a SQL query as a reusable tool |
create_tool |
Build a custom Python tool (sandboxed) |
list_my_tools |
See all your saved tools |
edit_tool |
Update an existing tool |
delete_tool |
Remove a tool |
test_tool |
Run a tool with test parameters |
Security
- SQL: Read-only queries only (SELECT). No writes, drops, or schema changes.
- Python tools: Sandboxed execution with restricted imports. No file system access, no network, no dangerous operations.
- Local only: All data stored in
~/.excel-mcp/. Nothing leaves your machine.
File Locations
| Path | Purpose |
|---|---|
~/.excel-mcp/data.db |
SQLite database with your data |
~/.excel-mcp/tools/ |
Saved analyses and custom tools |
~/.excel-mcp/output/ |
Tool output files |
~/.excel-mcp/config.json |
User configuration |
Configuration
Edit ~/.excel-mcp/config.json:
{
"data_dir": "~/Documents",
"port": 8765,
"auto_scan": false
}
Development
# Install dependencies
uv sync
# Run the server directly (for testing)
uv run python -m excel_mcp
License
MIT
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