https://github.com/marekrost/mcp-server-spreadsheet
Data-first MCP server for reading and writing spreadsheet files (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine
https://github.com/marekrost/mcp-server-spreadsheet
claude csv duckdb mcp mcp-server model-context-protocol ods openpyxl python spreadsheet sql xlsx
Last synced: 9 days ago
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Data-first MCP server for reading and writing spreadsheet files (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine
- Host: GitHub
- URL: https://github.com/marekrost/mcp-server-spreadsheet
- Owner: marekrost
- License: mit
- Created: 2026-03-01T14:04:30.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2026-03-08T07:19:59.000Z (3 months ago)
- Last Synced: 2026-04-03T02:58:01.144Z (2 months ago)
- Topics: claude, csv, duckdb, mcp, mcp-server, model-context-protocol, ods, openpyxl, python, spreadsheet, sql, xlsx
- Language: Python
- Homepage:
- Size: 163 KB
- Stars: 2
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mcp-security - mcp-server-spreadsheet - only MCP server for reading, writing, and querying spreadsheet files ... | 79 ⚠️ | 2 | [表示](https://agentseal.org/mcp/https-githubcom-marekrost-mcp-server-spreadsheet) | (カテゴリ / 📁 <a name="file-system--storage"></a>ファイルシステム・ストレージ)
README
# mcp-server-spreadsheet
mcp-name: io.github.marekrost/mcp-server-spreadsheet
Data-first MCP server for reading and writing spreadsheet files (`.xlsx`, `.csv`, `.ods`).
## Key features
- **Multi-format** — works with Excel (`.xlsx`), CSV (`.csv`), and OpenDocument (`.ods`) files through a unified tool interface.
- **Dual mode** — cell-level workbook operations and a DuckDB-powered SQL query engine, interleaved freely on the same file.
- **Workbook essentials** — worksheets, rows, columns, cells, search.
- **Data-only** — preserves existing formatting but only reads and writes values.
- **Stateless** — every call specifies `file` and `sheet` explicitly; no handles or sessions.
- **Atomic saves** — writes go to a temp file, then `os.replace()` into the target path.
- **Type coercion on write** — numeric strings become numbers, everything else is text.
- **SQL across sheets** — JOINs, GROUP BY, aggregates, subqueries via in-memory DuckDB; mutations write back to the file.
- **CSV as single-sheet workbook** — CSV files are treated as a workbook with one sheet named `default`.
## Requirements
- Python 3.13+
## Installation
### From PyPI (recommended)
No local checkout needed — just configure your MCP client (see below).
### From source (for development)
```bash
git clone https://github.com/marekrost/mcp-server-spreadsheet.git
cd mcp-server-spreadsheet
uv sync
```
## Usage
### Claude Desktop
Add to your `claude_desktop_config.json`:
**Using PyPI (recommended):**
```json
{
"mcpServers": {
"mcp-server-spreadsheet": {
"command": "uvx",
"args": ["mcp-server-spreadsheet"]
}
}
}
```
**Using local source:**
```json
{
"mcpServers": {
"mcp-server-spreadsheet": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-server-spreadsheet", "main.py"]
}
}
}
```
### Claude Code
Add to your `.mcp.json`:
**Using PyPI (recommended):**
```json
{
"mcpServers": {
"mcp-server-spreadsheet": {
"command": "uvx",
"args": ["mcp-server-spreadsheet"]
}
}
}
```
**Using local source:**
```json
{
"mcpServers": {
"mcp-server-spreadsheet": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-server-spreadsheet", "main.py"]
}
}
}
```
### Standalone (stdio transport)
```bash
# PyPI
uvx mcp-server-spreadsheet
# Local source
uv run main.py
```
## Format notes
| Format | Sheets | Formulas | Types |
|---|---|---|---|
| `.xlsx` | Multiple | Preserved as strings | Native (int, float, date, bool) |
| `.ods` | Multiple | Not preserved | Native (int, float, date, bool) |
| `.csv` | Single (`default`) | N/A | Inferred on load (int, float, text) |
Sheet management tools (`add_sheet`, `delete_sheet`, `copy_sheet`) raise an error for CSV files.
## Tools
### Workbook Operations
| Tool | Description |
|---|---|
| `list_workbooks` | List all spreadsheet files in a directory (non-recursive) |
| `create_workbook_file` | Create a new empty spreadsheet file (format by extension) |
| `copy_workbook` | Copy an existing file to a new path |
### Sheet Operations
| Tool | Description |
|---|---|
| `list_sheets` | List all sheet names in a workbook |
| `add_sheet` | Add a new sheet (optional name and position) |
| `rename_sheet` | Rename an existing sheet |
| `delete_sheet` | Delete a sheet by name |
| `copy_sheet` | Duplicate a sheet within a workbook (optional new name and position) |
### Reading Data
| Tool | Description |
|---|---|
| `read_sheet` | Read entire sheet as rows (optional row/column bounds) |
| `read_cell` | Read a single cell value, e.g. `B3` |
| `read_range` | Read a rectangular range, e.g. `A1:D10` |
| `get_sheet_dimensions` | Get row and column count of the used range |
### Writing Data
| Tool | Description |
|---|---|
| `write_cell` | Write a value to a single cell |
| `write_range` | Write a 2D array starting at a given cell |
| `append_rows` | Append rows after the last used row |
| `insert_rows` | Insert blank or pre-filled rows at a position (shifts rows down) |
| `delete_rows` | Delete rows by index (shifts rows up) |
| `clear_range` | Clear values in a range without removing rows/columns |
| `copy_range` | Copy a block of cells to another location (optionally to a different sheet) |
### Column Operations
| Tool | Description |
|---|---|
| `insert_columns` | Insert blank columns at a position |
| `delete_columns` | Delete columns by index |
### Search
| Tool | Description |
|---|---|
| `search_sheet` | Search for a value or regex pattern, returns matching cell references |
### Table Mode (SQL)
| Tool | Description |
|---|---|
| `describe_table` | Inspect column names, inferred types, row count, and sample values |
| `sql_query` | Execute a read-only SQL `SELECT` (supports JOINs across sheets, GROUP BY, aggregates, subqueries) |
| `sql_execute` | Execute `INSERT INTO`, `UPDATE`, or `DELETE FROM` — writes changes back to the file |
SQL examples:
```sql
-- Filter and sort
SELECT name, revenue FROM Sales WHERE status = 'Active' ORDER BY revenue DESC LIMIT 20
-- Cross-sheet JOIN
SELECT o.order_id, c.name FROM Orders o JOIN Customers c ON o.customer_id = c.id
-- Aggregate
SELECT department, COUNT(*) AS n, AVG(salary) AS avg FROM Employees GROUP BY department
-- Mutate
UPDATE Sales SET status = 'Closed' WHERE quarter = 'Q1' AND revenue < 1000
DELETE FROM Logs WHERE date < '2024-01-01'
```
Sheet names with spaces must be quoted: `SELECT * FROM "Q1 Sales"`.
## Common Parameters
Every sheet-level tool accepts:
| Parameter | Required | Description |
|---|---|---|
| `file` | yes | Path to the spreadsheet file (.xlsx, .csv, or .ods) |
| `sheet` | no | Sheet name. Defaults to the first sheet in the workbook |
All row/column indices are **1-based**. Cell references use A1 notation (`A1`, `$B$2`).