ppt-generator-mcp

ppt-generator-mcp

MCP server for generating PowerPoint presentations, supporting AI-generated or manual slide creation with 21 layouts, rendering via pptxgenjs, and uploading to OCI Object Storage.

Category
Visit Server

README

ppt-generator-mcp

MCP server for generating PowerPoint presentations, exposed over HTTP (JSON-RPC). Decks can be AI-generated from a topic or built slide-by-slide, rendered with pptxgenjs, and uploaded to OCI Object Storage.

Tools

Tool Description
create_deck Create a deck — auto-generate slides from a topic via AI, or pass a manual slides array
get_deck Get full deck data (all slides)
add_slide Add a slide to an existing deck
update_slide Update fields on an existing slide
delete_slide Remove a slide
reorder_slides Change slide order

21 layouts available: cover, section, icon-point, icon-list, big-number, quote, image-text, comparison, three-icons, focus, timeline, process, stats-grid, pros-cons, agenda, team, gallery, full-image, chart, table, contact, closing.

Setup

npm install
npm run build
npm start

Copy .env.example to .env (or create one) with your OCI GenAI + Object Storage config:

Variable Description
OCI_GENAI_COMPARTMENT_ID OCI compartment for GenAI inference (required)
OCI_OS_NAMESPACE / OCI_OS_BUCKET Object Storage bucket for generated decks (required)
OCI_CONFIG_FILE / OCI_CONFIG_PROFILE OCI CLI config (default ~/.oci/config, DEFAULT)
USE_RESOURCE_PRINCIPAL Use instance/resource principal auth instead of the config file
UNSPLASH_ACCESS_KEY / PEXELS_API_KEY Stock photo sources for image slides
PORT Server port (default 8086)
API_KEY Optional key required on /mcp requests

Endpoints

Method Path Description
GET /health Health check
GET /test-genai Verify OCI GenAI connectivity
POST /mcp JSON-RPC endpoint (MCP protocol)

Docker

docker build -t ppt-generator-mcp .
docker run -p 8086:8086 --env-file .env ppt-generator-mcp

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured