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islem-zaraa

Model Context Protocol (MCP) plugin for PowerPoint operations, allowing AI assistants to create and manipulate PowerPoint presentations programmatically.

Publisherislem-zaraa
Repositorymcp-powerpoint
LanguageJavaScript
Forks
3
Stars
5
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    PowerPoint exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    5 stars and 3 forks from the linked repository.

MCP PowerPoint Plugin

A Model Context Protocol (MCP) plugin for PowerPoint operations, allowing AI assistants to create and manipulate PowerPoint presentations programmatically.

Features

  • Create new PowerPoint presentations
  • Add slides to presentations
  • Get slides information from a presentation
  • Export presentations to PDF
  • Read presentation metadata and structure

Installation

bash
# Clone the repository
git clone https://github.com/islem-zaraa/mcp-powerpoint.git

# Navigate to the project directory
cd mcp-powerpoint

# Install dependencies
npm install

# Link for local development
npm link

Usage as CLI

This plugin can be used directly as a command-line tool:

bash
# Create a new presentation
mcp-powerpoint create --outputPath="presentation.pptx" --title="My Presentation"

# Add a slide to an existing presentation
mcp-powerpoint add-slide --file="presentation.pptx" --title="New Slide" --content="This is the content of the slide"

# Get slides from a presentation
mcp-powerpoint get-slides --file="presentation.pptx"

# Export presentation to PDF
mcp-powerpoint export-pdf --file="presentation.pptx" --outputPath="presentation.pdf"

# Read presentation metadata
mcp-powerpoint read --file="presentation.pptx"

Usage as MCP Plugin

This plugin can be integrated into an MCP-compatible AI assistant system:

javascript
const mcpPowerPointPlugin = require('mcp-powerpoint/src/mcp-plugin');

// Register the plugin with your MCP system
mcpSystem.registerPlugin(mcpPowerPointPlugin);

// Now the AI can use the PowerPoint functions through the MCP protocol
// Example function calls:
// - mcp_powerpoint_create_presentation
// - mcp_powerpoint_add_slide
// - mcp_powerpoint_get_slides
// - mcp_powerpoint_export_to_pdf
// - mcp_powerpoint_read_presentation

Function Descriptions

mcp_powerpoint_create_presentation

Creates a new PowerPoint presentation.

Parameters:

  • outputPath: Path where to save the PowerPoint file (must end with .pptx)
  • title: (Optional) Title of the presentation

mcp_powerpoint_add_slide

Adds a slide to an existing PowerPoint presentation.

Parameters:

  • file: Path to the PowerPoint file
  • title: (Optional) Title of the slide
  • content: (Optional) Content of the slide

mcp_powerpoint_get_slides

Gets slides from a PowerPoint presentation.

Parameters:

  • file: Path to the PowerPoint file

mcp_powerpoint_export_to_pdf

Exports a PowerPoint presentation to PDF.

Parameters:

  • file: Path to the PowerPoint file
  • outputPath: Path where to save the PDF file (must end with .pdf)

mcp_powerpoint_read_presentation

Reads metadata and structure from a PowerPoint presentation.

Parameters:

  • file: Path to the PowerPoint file

Limitations

  • The plugin currently provides basic PowerPoint functionality
  • Editing existing slides has limitations due to the complexity of the PPTX format
  • The PDF export is a simulated feature in this version

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. ### Topics

  • mcp
  • model-context-protocol
  • mcp-server
  • powerpoint
  • presentation
  • slides
  • office

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "mcp-powerpoint": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-powerpoint"
      ]
    }
  }
}

Use PowerPoint MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once PowerPoint is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add PowerPoint as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the PowerPoint MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "powerpoint": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-powerpoint"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the PowerPoint MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the PowerPoint MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use PowerPoint to help me with this task?
PowerPoint
Sure. I read it.
Here is what I found using PowerPoint.

Frequently asked questions

What is the PowerPoint MCP server used for?

PowerPoint is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use PowerPoint MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use PowerPoint with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use PowerPoint MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With PowerPoint connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect PowerPoint MCP to TypingMind?

PowerPoint runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does PowerPoint MCP provide in TypingMind?

PowerPoint exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use PowerPoint MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If PowerPoint requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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