MCPSERV.CLUB
Ichigo3766

PowerPoint MCP Server

MCP Server

Generate and edit PowerPoint decks with AI-powered slide creation

Stale(50)
42stars
2views
Updated 19 days ago

About

The PowerPoint MCP Server automates the creation and editing of PowerPoint presentations. It offers a suite of tools for adding titles, content, tables, charts, images, and more, while integrating Stable Diffusion for image generation.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

PowerPoint Server MCP server

PowerPoint MCP Server – Overview

The PowerPoint MCP server bridges AI assistants with Microsoft PowerPoint, allowing developers to generate and edit presentations entirely through natural language commands. Instead of manually opening PowerPoint or scripting complex Office APIs, a client can simply invoke high‑level tools such as create‑presentation or add-slide-title-content. The server then orchestrates the creation of slide objects, populating them with text, tables, charts, or images—making it an ideal partner for AI‑driven content creation workflows.

What Problem Does It Solve?

Creating polished presentations is a repetitive, design‑heavy task that often requires manual intervention. By exposing a set of declarative tools over MCP, the server lets AI assistants handle the entire lifecycle: from drafting an outline to inserting data visualizations and finishing touches. This reduces the cognitive load on users, speeds up content production, and ensures consistency across slides.

Core Capabilities

  • Slide Creation – Tools such as add‑slide-title-only, add-slide-section-header, and add-slide-title-with-chart let the assistant build structured slide decks without writing VBA or PowerPoint macros.
  • Dynamic Data Integration – Slides can include tables or charts that are generated on the fly from JSON arrays or objects, with the server automatically selecting an appropriate chart type.
  • Image Generation – The generate-and-save-image tool leverages a Stable Diffusion API (ForgeUI/Automatic‑1111) to create custom visuals, which can then be inserted via add-slide-picture-with-caption.
  • Editing Existing Decks – With open-presentation, developers can extend pre‑existing PowerPoint files, adding new slides or modifying content before finally calling save-presentation to persist changes.

Real‑World Use Cases

  • Automated Report Generation – A data analyst can ask the assistant to produce a quarterly report deck, and the server will populate slides with charts derived from live data sources.
  • Marketing Pitch Automation – Marketers can quickly prototype pitches by feeding product details and customer insights into the assistant, which then crafts a cohesive deck complete with images.
  • Educational Content Creation – Teachers can generate lesson plans and slide decks from curriculum outlines, including interactive tables and visual aids.

Integration into AI Workflows

The server’s MCP interface fits naturally into existing pipelines: a client (e.g., Claude Desktop) sends JSON commands, the server processes them, and returns confirmation or updated presentation metadata. Because all operations are stateless except for the slide objects stored in a specified folder, developers can orchestrate multi‑step workflows—such as first drafting content, then generating images, and finally assembling the deck—all within a single conversational session.

Unique Advantages

  • Zero‑Code Presentation Engineering – No PowerPoint SDK or Office automation libraries required; everything is accessible through simple tool calls.
  • Image Generation on Demand – Seamless integration with Stable Diffusion eliminates the need for external graphic design tools.
  • Extensibility – Developers can add new slide types or integrate additional data sources without altering the core assistant logic.

Overall, the PowerPoint MCP server empowers AI assistants to become full‑featured presentation creators, dramatically accelerating content production while maintaining high design quality.