Install excel-vision-mcp from PyPI
Install exact version 1.2.1. The executable name has not been verified, so it is intentionally not guessed.
python -m pip install 'excel-vision-mcp==1.2.1'MCP server intelligence profile
excel-vision-mcp Server
Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models
1Distribution channel
13Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence
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Identity
| Canonical slug | excel-vision-mcp-4eaa2753 | Deployment | Local Only |
|---|---|---|---|
| Canonical package | pypi:excel-vision-mcp | Repository | VOYAGER-Inc/excel-vision-mcp |
| First published | Jul 30, 2026 | Latest release | Jul 30, 2026 |
| Last security verification | — | Classification confidence | 90% |
| Publication | Draft | Official distribution | Not verified |
Distributions
| Channel | Identifier | Current version | Versions | Source |
|---|---|---|---|---|
| pypi | excel-vision-mcp | 1.2.1 | 1 | Repository |
Current release
| Package | Version | Published / observed | Inventory | Security scan |
|---|---|---|---|---|
| pypiexcel-vision-mcp | 1.2.1Current | Jul 30, 2026 | 13 toolsSucceeded · 0 resources · 0 prompts | Evidence restricted |
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Current version evidence
No public current-version evidence is available yet.
Current protocol inventory
2025-06-18Negotiated protocol
ExcelReaderServer-reported name
4Capability groups
Aug 22, 2026Observed
Tools 13
| Tool | Category | Annotations | Risk |
|---|---|---|---|
add_excel_sheet
Add a new empty sheet to an existing workbook.
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param sheet_name: Name for the new sheet; must not already exist.
@param position: 0-based index to insert at. None = append at the end.
@return: Confirmation with the updated sheet list.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"sheet_name": {
"title": "Sheet Name",
"type": "string"
},
"position": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Position"
}
},
"required": [
"file_path",
"sheet_name"
],
"title": "add_excel_sheetArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "add_excel_sheetOutput",
"type": "object"
} | — | — | |
create_excel_file
Create a new empty .xlsx workbook.
@param file_path: Absolute destination path; parent directory must exist.
@param sheet_names: Sheet names to create in order. None = single "Sheet1".
@param overwrite: Set true to replace an existing file. Default false.
@return: Confirmation with the created sheet list.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"sheet_names": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Names"
},
"overwrite": {
"default": false,
"title": "Overwrite",
"type": "boolean"
}
},
"required": [
"file_path"
],
"title": "create_excel_fileArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "create_excel_fileOutput",
"type": "object"
} | — | — | |
extract_images
Extract all embedded images from an Excel file.
Uses dual extraction strategy: cell-position mapping (primary) and
ZIP archive scanning (fallback) to ensure no images are missed.
Returns images as base64-encoded ImageContent that AI can visually analyze.
@param file_path: Absolute path to the .xlsx file.
@param sheet_name: Specific sheet, or None for all sheets.
@param max_width: Max width in pixels for image optimization (default 1024).
@param max_height: Max height in pixels for image optimization (default 1024).
@return: Mixed list of TextContent (metadata) and ImageContent (images).
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"max_width": {
"default": 1024,
"title": "Max Width",
"type": "integer"
},
"max_height": {
"default": 1024,
"title": "Max Height",
"type": "integer"
}
},
"required": [
"file_path"
],
"title": "extract_imagesArguments",
"type": "object"
}Output schema{
"$defs": {
"Annotations": {
"additionalProperties": true,
"properties": {
"audience": {
"anyOf": [
{
"items": {
"enum": [
"user",
"assistant"
],
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Audience"
},
"priority": {
"anyOf": [
{
"maximum": 1,
"minimum": 0,
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Priority"
}
},
"title": "Annotations",
"type": "object"
},
"ImageContent": {
"additionalProperties": true,
"description": "Image content for a message.",
"properties": {
"type": {
"const": "image",
"title": "Type",
"type": "string"
},
"data": {
"title": "Data",
"type": "string"
},
"mimeType": {
"title": "Mimetype",
"type": "string"
},
"annotations": {
"anyOf": [
{
"$ref": "#/$defs/Annotations"
},
{
"type": "null"
}
],
"default": null
},
"_meta": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Meta"
}
},
"required": [
"type",
"data",
"mimeType"
],
"title": "ImageContent",
"type": "object"
},
"TextContent": {
"additionalProperties": true,
"description": "Text content for a message.",
"properties": {
"type": {
"const": "text",
"title": "Type",
"type": "string"
},
"text": {
"title": "Text",
"type": "string"
},
"annotations": {
"anyOf": [
{
"$ref": "#/$defs/Annotations"
},
{
"type": "null"
}
],
"default": null
},
"_meta": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Meta"
}
},
"required": [
"type",
"text"
],
"title": "TextContent",
"type": "object"
}
},
"properties": {
"result": {
"items": {
"anyOf": [
{
"$ref": "#/$defs/TextContent"
},
{
"$ref": "#/$defs/ImageContent"
}
]
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "extract_imagesOutput",
"type": "object"
} | — | — | |
format_excel_cells
Apply formatting to a cell range: font, colors, borders, alignment, number format.
Only the attributes you pass are changed; existing styling is preserved.
Example — style a header row: cell_range="A1:D1", bold=true,
font_color="FFFFFF", fill_color="4472C4", horizontal_align="center",
border_style="thin".
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param cell_range: Range like "A1:C10" or a single cell like "B2".
@param sheet_name: Target sheet. None = first sheet.
@param font_name: Font family (e.g. "Calibri").
@param font_size: Font size in points.
@param bold: Bold on/off.
@param italic: Italic on/off.
@param font_color: Text color, RRGGBB hex (e.g. "FFFFFF").
@param fill_color: Background color, RRGGBB hex (e.g. "4472C4").
@param border_style: thin, medium, thick, double, dashed, or dotted.
@param border_edges: "all" = every cell; "outline" = outer edge of range only.
@param horizontal_align: left, center, right, or justify.
@param vertical_align: top, center, or bottom.
@param wrap_text: Enable/disable text wrapping.
@param number_format: Excel format code (e.g. "#,##0.00", "dd/mm/yyyy", "0%").
@return: Confirmation with the number of cells formatted.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"cell_range": {
"title": "Cell Range",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"font_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Font Name"
},
"font_size": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Font Size"
},
"bold": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Bold"
},
"italic": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Italic"
},
"font_color": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Font Color"
},
"fill_color": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Fill Color"
},
"border_style": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Border Style"
},
"border_edges": {
"default": "all",
"title": "Border Edges",
"type": "string"
},
"horizontal_align": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Horizontal Align"
},
"vertical_align": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Vertical Align"
},
"wrap_text": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Wrap Text"
},
"number_format": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Number Format"
}
},
"required": [
"file_path",
"cell_range"
],
"title": "format_excel_cellsArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "format_excel_cellsOutput",
"type": "object"
} | — | — | |
get_workbook_overview
Get a quick summary overview of an Excel workbook.
Returns file metadata, sheet list with dimensions, image count,
and merged cell information. Use this for a fast assessment
before deeper analysis.
@param file_path: Absolute path to the .xlsx file.
@return: Formatted text summary.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
}
},
"required": [
"file_path"
],
"title": "get_workbook_overviewArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_workbook_overviewOutput",
"type": "object"
} | — | — | |
insert_excel_image
Insert an image from a local file into a workbook, anchored at a cell.
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param image_path: Absolute path to the image file (PNG/JPEG/GIF/BMP).
@param cell: Anchor cell coordinate (e.g. "B2").
@param sheet_name: Target sheet. None = first sheet.
@param width: Display width in pixels. None = natural size.
@param height: Display height in pixels. None = natural size.
@return: Confirmation with anchor position and display size.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"image_path": {
"title": "Image Path",
"type": "string"
},
"cell": {
"title": "Cell",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"width": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Width"
},
"height": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Height"
}
},
"required": [
"file_path",
"image_path",
"cell"
],
"title": "insert_excel_imageArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "insert_excel_imageOutput",
"type": "object"
} | — | — | |
list_sheets
List all sheets in an Excel workbook with their dimensions and metadata.
Returns sheet names, row/column counts, data ranges, merged cell counts,
and total embedded image count. Use this to understand the structure of
an Excel file before reading its contents.
@param file_path: Absolute path to the .xlsx file.
@return: Formatted text with workbook structure overview.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
}
},
"required": [
"file_path"
],
"title": "list_sheetsArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "list_sheetsOutput",
"type": "object"
} | — | — | |
read_excel_data
Read cell data from an Excel sheet with pagination for large files.
Returns cell values organized by row with coordinate labels and
formatting markers ([B]=bold, [S]=strikethrough, [HL:color]=highlight,
[C:color]=font color) that reveal the author's emphasis and status marks.
Hidden rows/columns are skipped by default — the author hid them for a
reason — except hidden cells that visible formulas depend on, which are
kept and marked [HIDDEN-REF].
@param file_path: Absolute path to the .xlsx file.
@param sheet_name: Sheet to read. None = first/active sheet.
@param start_row: Starting row number (1-indexed).
@param max_rows: Maximum rows to return (default 200).
@param include_hidden: Set true to also read hidden rows/columns.
@return: Formatted text table with cell values and formatting markers.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"start_row": {
"default": 1,
"title": "Start Row",
"type": "integer"
},
"max_rows": {
"default": 200,
"title": "Max Rows",
"type": "integer"
},
"include_hidden": {
"default": false,
"title": "Include Hidden",
"type": "boolean"
}
},
"required": [
"file_path"
],
"title": "read_excel_dataArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "read_excel_dataOutput",
"type": "object"
} | — | — | |
read_full_content
Read the FULL content of an Excel file including all text data AND embedded images.
This is the primary tool for comprehensive document analysis. Returns all sheet
data as structured text followed by all extracted images with their cell positions.
Ideal for analyzing documents where both text and diagrams/screenshots are
essential, such as requirement definitions, reports, or design specs.
For very large files, data is paginated per sheet. Image extraction uses
dual strategy (cell-mapping + archive) for maximum coverage. Cell text
carries formatting markers ([B]=bold, [S]=strikethrough, [HL:color]=
highlight) so emphasis and status marks survive into the analysis.
Hidden rows/columns are skipped by default, except hidden cells that
visible formulas depend on.
@param file_path: Absolute path to the .xlsx file.
@param max_rows_per_sheet: Max rows to read per sheet (default 500).
@param max_image_width: Max width for image optimization (default 1024).
@param max_image_height: Max height for image optimization (default 1024).
@param include_hidden: Set true to also read hidden rows/columns.
@return: Mixed list of TextContent and ImageContent covering entire workbook.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"max_rows_per_sheet": {
"default": 500,
"title": "Max Rows Per Sheet",
"type": "integer"
},
"max_image_width": {
"default": 1024,
"title": "Max Image Width",
"type": "integer"
},
"max_image_height": {
"default": 1024,
"title": "Max Image Height",
"type": "integer"
},
"include_hidden": {
"default": false,
"title": "Include Hidden",
"type": "boolean"
}
},
"required": [
"file_path"
],
"title": "read_full_contentArguments",
"type": "object"
}Output schema{
"$defs": {
"Annotations": {
"additionalProperties": true,
"properties": {
"audience": {
"anyOf": [
{
"items": {
"enum": [
"user",
"assistant"
],
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Audience"
},
"priority": {
"anyOf": [
{
"maximum": 1,
"minimum": 0,
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Priority"
}
},
"title": "Annotations",
"type": "object"
},
"ImageContent": {
"additionalProperties": true,
"description": "Image content for a message.",
"properties": {
"type": {
"const": "image",
"title": "Type",
"type": "string"
},
"data": {
"title": "Data",
"type": "string"
},
"mimeType": {
"title": "Mimetype",
"type": "string"
},
"annotations": {
"anyOf": [
{
"$ref": "#/$defs/Annotations"
},
{
"type": "null"
}
],
"default": null
},
"_meta": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Meta"
}
},
"required": [
"type",
"data",
"mimeType"
],
"title": "ImageContent",
"type": "object"
},
"TextContent": {
"additionalProperties": true,
"description": "Text content for a message.",
"properties": {
"type": {
"const": "text",
"title": "Type",
"type": "string"
},
"text": {
"title": "Text",
"type": "string"
},
"annotations": {
"anyOf": [
{
"$ref": "#/$defs/Annotations"
},
{
"type": "null"
}
],
"default": null
},
"_meta": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Meta"
}
},
"required": [
"type",
"text"
],
"title": "TextContent",
"type": "object"
}
},
"properties": {
"result": {
"items": {
"anyOf": [
{
"$ref": "#/$defs/TextContent"
},
{
"$ref": "#/$defs/ImageContent"
}
]
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "read_full_contentOutput",
"type": "object"
} | — | — | |
search_excel
Search for text content across all cells in an Excel workbook.
Performs case-insensitive substring search and returns matching cells
with their coordinates and values. Hidden rows/columns are excluded by
default. Limited to 100 results.
@param file_path: Absolute path to the .xlsx file.
@param query: Text to search for.
@param sheet_name: Limit to specific sheet, or None for all sheets.
@param include_hidden: Set true to also search hidden rows/columns.
@return: Formatted text with search results.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"include_hidden": {
"default": false,
"title": "Include Hidden",
"type": "boolean"
}
},
"required": [
"file_path",
"query"
],
"title": "search_excelArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "search_excelOutput",
"type": "object"
} | — | — | |
set_excel_column_widths
Set column widths manually and/or auto-fit them to content.
Auto-fit sizes each column to its longest content (full-width CJK
characters count double), capped at max_width. Cells longer than the
cap get wrap_text enabled so long descriptions wrap onto multiple
lines instead of stretching the column; Excel auto-expands their row
heights on open. Columns in `widths` are set exactly and skipped by
auto-fit.
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param sheet_name: Target sheet. None = first sheet.
@param widths: Explicit widths per column letter, e.g. {"A": 12, "B": 35}.
@param auto_fit: Auto-size all other columns in the used range.
@param max_width: Width cap for auto-fit in character units (default 60).
@param wrap_overflow: Wrap cells longer than max_width (default true).
@return: Confirmation listing each column and the width applied.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"widths": {
"anyOf": [
{
"additionalProperties": {
"type": "number"
},
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Widths"
},
"auto_fit": {
"default": false,
"title": "Auto Fit",
"type": "boolean"
},
"max_width": {
"default": 60,
"title": "Max Width",
"type": "integer"
},
"wrap_overflow": {
"default": true,
"title": "Wrap Overflow",
"type": "boolean"
}
},
"required": [
"file_path"
],
"title": "set_excel_column_widthsArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "set_excel_column_widthsOutput",
"type": "object"
} | — | — | |
update_excel_cells
Set individual cells by coordinate, e.g. {"A1": "Title", "B2": 42}.
String values starting with "=" are written as formulas (e.g. "=SUM(A1:A5)").
Note: newly written formulas have no calculated value until the file is
opened in Excel. For cells inside a merged range, write to the range's
top-left anchor cell.
The save is atomic — a failed write never corrupts the original file.
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param updates: Mapping of cell coordinate to value.
@param sheet_name: Target sheet. None = first sheet.
@return: Confirmation with the number of cells written.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"updates": {
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"title": "Updates",
"type": "object"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
}
},
"required": [
"file_path",
"updates"
],
"title": "update_excel_cellsArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "update_excel_cellsOutput",
"type": "object"
} | — | — | |
write_excel_rows
Write a rectangular block of rows starting at start_cell.
Efficient for tabular data: pass a list of rows, each a list of values.
Existing cells in the target range are overwritten; cells outside it
are untouched. The save is atomic.
@param file_path: Absolute path to the .xlsx/.xlsm file.
@param rows: List of rows, each a list of cell values.
@param sheet_name: Target sheet. None = first sheet.
@param start_cell: Top-left coordinate of the block (default "A1").
@return: Confirmation with the written range.
Input schema{
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"rows": {
"items": {
"items": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"type": "array"
},
"title": "Rows",
"type": "array"
},
"sheet_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sheet Name"
},
"start_cell": {
"default": "A1",
"title": "Start Cell",
"type": "string"
}
},
"required": [
"file_path",
"rows"
],
"title": "write_excel_rowsArguments",
"type": "object"
}Output schema{
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "write_excel_rowsOutput",
"type": "object"
} | — | — |
Resources 0
- None observed.
Resource templates 0
- None observed.
Prompts 0
- None observed.
Remote endpoints
| Endpoint | Transport | Authentication | Health | Observed |
|---|---|---|---|---|
| No verified remote endpoint is linked. | ||||
excel-vision-mcp Server questions
How do I install excel-vision-mcp Server?
Install the selected package version with: python -m pip install 'excel-vision-mcp==1.2.1'
What tools does excel-vision-mcp Server provide?
excel-vision-mcp Server exposed 13 tools during independent protocol observation, including add_excel_sheet, create_excel_file, extract_images, format_excel_cells, get_workbook_overview, insert_excel_image, list_sheets, read_excel_data, and others.
Is excel-vision-mcp Server secure?
The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.
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