mcpField
M
MCP Server Demo - PowerPoint Automation

MCP Server Demo - PowerPoint Automation

Local
github.com/buckylee2019Productivity17Updated 41w ago

About MCP Server Demo - PowerPoint Automation

This MCP server uses python-pptx to let AI assistants create, inspect, and modify PowerPoint presentations programmatically. Its tools cover presentations, slides, text, shapes, tables, and charts.

Key features

  1. 01Create, open, and save presentations
  2. 02Add, delete, and manage slides
  3. 03Read and format text
  4. 04Adjust shape positions and properties
  5. 05Create tables and edit cells
  6. 06Add several types of charts

Use cases

  1. 01Translate presentation content in batches
  2. 02Update slide text and formatting
  3. 03Add images, tables, or charts to slides

MCP support

The MCP server exposes tools for AI assistants to manage PowerPoint presentations and slides, including inspecting, editing, and saving content.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

PowerPoint Automation MCP Server

A Model Context Protocol (MCP) server that provides comprehensive PowerPoint automation capabilities using python-pptx. This server enables AI assistants to create, modify, and manage PowerPoint presentations programmatically.

Demo

https://github.com/user-attachments/assets/3daf3bef-4d75-4639-a891-0e64b80b4807

Features

  • Presentation Management: Create, open, save, and close presentations
  • Slide Operations: Add, delete, and manage slides with various layouts
  • Content Creation: Add text boxes, images, tables, and charts
  • Text Formatting: Update text with font styling (name, size, bold, italic)
  • Shape Manipulation: Move, resize, and modify shape properties
  • Table Operations: Create tables and update cell content
  • Chart Creation: Add various chart types (column, line, pie, bar) with data
  • Group Management: Ungroup shapes for easier manipulation
  • Layout Support: Work with different slide layouts and placeholders

Recommended Prompts

Translation Scenario

For translating presentations, process in batches to avoid context overflow and ensure data safety:

Translate this presentation [absolute path of ppt], processing 10 slides at a time and saving after each batch of 10 slides.

This approach:

  • Prevents token limit issues on large presentations
  • Saves progress incrementally to avoid data loss
  • Allows for review between batches

Installation

git clone https://github.com/buckylee2019/powerpoint-automation-mcp.git
cd powerpoint-automation-mcp
uv sync

Running the Server

uv run --directory /path/to/powerpoint-automation-mcp mcp-ppt-server

API Reference

The server provides 25+ tools for comprehensive PowerPoint automation. All operations work with a single active presentation to simplify the API.

Presentation Management
initialize_powerpoint() -> bool

Initialize the PowerPoint automation system.

create_presentation(template: str = None) -> Dict

Create a new presentation, optionally from a template.

  • template: Optional path to template file
open_presentation(file_path: str) -> Dict

Open an existing PowerPoint file.

  • file_path: Full path to .pptx file
get_presentation() -> Dict

Get information about the currently active presentation.

save_presentation(path: str = None) -> Dict

Save the active presentation.

  • path: Optional save path (uses current path if omitted)
close_presentation() -> Dict

Close the active presentation.

Slide Management
get_slides() -> List[Dict]

Get list of all slides with metadata.

add_slide(layout_index: int = 1) -> Dict

Add a new slide with specified layout.

  • layout_index: Layout type (0=Title, 1=Title+Content, etc.)
delete_slide(slide_index: int) -> Dict

Delete a slide from the presentation.

  • slide_index: 0-based slide index
get_slide_layouts() -> Dict

Get all available slide layouts with their properties.

set_slide_title(slide_index: int, title: str) -> Dict

Set the title of a slide.

Content Inspection
get_slide_shapes(slide_index: int) -> Dict

ALWAYS RUN FIRST! Get all shapes in a slide with properties and IDs.

  • Returns shape types, positions, sizes, and text content
  • Identifies grouped shapes that may need ungrouping
get_slide_text(slide_index: int) -> Dict

Get all text content in a slide organized by shape.

  • Detects grouped shapes that may need ungrouping first
Text and Shape Manipulation
update_text(slide_index: int, shape_index: int, text: str, font_name: str = None, font_size: int = None, bold: bool = None, italic: bool = None, preserve_existing: bool = True) -> Dict

Update text content with optional formatting.

  • Supports font styling while preserving existing formatting
  • preserve_existing: Keep original formatting for unspecified properties
update_shape_by_id(slide_index: int, shape_id: str, text: str = None, left: float = None, top: float = None, width: float = None, height: float = None) -> Dict

Update shape properties by ID.

  • Positions and sizes in inches
Content Creation
add_textbox(slide_index: int, text: str, left: float = 1, top: float = 1, width: float = 4, height: float = 2) -> Dict

Add a text box to a slide.

add_image(slide_index: int, image_path: str, left: float = 1, top: float = 1, width: float = None, height: float = None) -> Dict

Add an image to a slide.

  • Maintains aspect ratio if only width or height specified
add_table(slide_index: int, rows: int, cols: int, left: float = 1, top: float = 1, width: float = 8, height: float = 4) -> Dict

Add a table to a slide.

add_chart(slide_index: int, chart_type: str, categories: List[str], series_names: List[str], series_values: List[List[float]], left: float = 1, top: float = 1, width: float = 8, height: float = 4, has_legend: bool = True) -> Dict

Add a chart with multiple data series.

  • chart_type: 'COLUMN', 'LINE', 'PIE', 'BAR'
  • categories: X-axis labels
  • series_names: Legend labels
  • series_values: Data values for each series
Table Operations
update_table_cell(slide_index: int, shape_index: int, row: int, col: int, text: str) -> Dict

Update text in a specific table cell.

get_table_content(slide_index: int, shape_index: int) -> Dict

Retrieve all content from a table.

Advanced Operations
ungroup_shapes(slide_index: int) -> Dict

Ungroup all text-containing groups in a slide.

  • Only processes simple groups (no nested groups)
  • Preserves shape positions and properties
  • Skips groups without text content

Usage Workflow

  1. Initialize: Call initialize_powerpoint()
  2. Open/Create: Use open_presentation() or create_presentation()
  3. Inspect: Always run get_slide_shapes() first to understand slide structure
  4. Ungroup if needed: Use ungroup_shapes() if grouped shapes are detected
  5. Modify: Use appropriate tools to add/modify content
  6. Save: Call save_presentation() to persist changes

Error Handling

All functions return dictionaries with either success data or error information:

// Success response
{
  "success": true,
  "message": "Operation completed",
  "data": {...}
}

// Error response
{
  "error": "Description of what went wrong"
}

MCP Configuration

Add to your MCP settings:

{
  "mcpServers": {
    "powerpoint-automation": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/powerpoint-automation-mcp",
        "mcp-ppt-server"
      ]
    }
  }
}

Dependencies

  • python-pptx: PowerPoint file manipulation
  • mcp: Model Context Protocol framework
  • fastmcp: Simplified MCP server creation

License

MIT License - see LICENSE file for details.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.