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PPT Maker MCP Server

MCP Server

Create, edit, and save PowerPoint presentations via LLM chat

Stale(55)
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Updated 16 days ago

About

A Model Context Protocol server that lets users dynamically create, modify, and export PowerPoint presentations using python-pptx. It supports adding slides of various types, inserting images and tables, and generating downloadable files or base64 exports.

Capabilities

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

PPT Maker MCP Server in Action

The PPT Maker MCP server bridges the gap between conversational AI and presentation creation, allowing developers to harness a large language model’s creative power without leaving the chat interface. Instead of manually opening PowerPoint, writing VBA scripts, or juggling multiple tools, an AI assistant can now instantiate a new deck, add slides of various layouts, insert images or tables, and even export the final file—all through simple, well‑defined MCP calls. This eliminates repetitive manual steps and speeds up iterative design cycles, especially in environments where rapid prototyping or frequent updates to slide decks are required.

At its core, the server exposes a set of intuitive operations: creating a presentation with a unique ID, adding title, content, section, image, or table slides, and managing the deck by saving to disk, generating download links, retrieving metadata, or removing specific slides. Each operation is implemented as an MCP tool function that accepts natural‑language parameters (e.g., a list of bullet points for a content slide) and returns confirmation or data such as the presentation ID. The use of under the hood ensures compatibility with standard PowerPoint formats, while the MCP wrapper guarantees that these capabilities can be invoked by any AI client that understands the protocol.

Key features include dynamic slide generation (title, content, section, image, table), metadata retrieval (slide count, available layouts), and export options such as base64 encoding or data‑URI download links. Developers can integrate these tools into larger AI workflows—for example, an assistant that drafts a presentation outline from meeting notes, automatically populates slides with bullet points and relevant images, then hands the finished deck back to a user for review. The server’s resource endpoints also allow clients to pull a text‑based outline, facilitating AI‑driven summarization or restructuring before final rendering.

Real‑world scenarios that benefit from this MCP server include educational content creation, corporate pitch decks, conference talks, and automated reporting. A teaching assistant could generate lecture slides from textbook excerpts; a sales team might craft product demos on the fly; or data analysts could convert dashboards into slide presentations without leaving their conversational AI environment. Because every operation is stateless and identified by a presentation ID, multiple users or sessions can work concurrently without conflict.

What sets this server apart is its complete end‑to‑end integration: a single MCP endpoint handles the entire lifecycle of a PowerPoint file, from creation to export. It removes the need for external scripting or manual file handling, reduces latency by keeping all operations server‑side, and provides a consistent interface that any AI client can consume. For developers building AI assistants that need to produce polished presentations, the PPT Maker MCP server offers a powerful, ready‑to‑use solution that translates natural language into professional slide decks with minimal friction.