"Information on PowerPoint (PPT) presentations" matching MCP servers:

Enables creating, analyzing, and managing PowerPoint presentations using pure Node.js. Supports generating professional presentations with custom templates, reading existing files, and performing content analysis through natural language commands.

An MCP server that provides real-time control of Microsoft PowerPoint via COM automation, enabling AI agents to create and edit presentations with 155 tools across 26 categories.

Wraps the PDF2PPT API into MCP tools, enabling AI clients (e.g., Claude Desktop) to convert PDFs to PPTs via natural language.

A server that enables AI assistants to create and edit PowerPoint presentations with features for adding various slide types, tables, charts, and AI-generated images through Stable Diffusion.

Enables AI assistants to create, modify, and manage PowerPoint presentations programmatically using python-pptx.

A comprehensive MCP server for PowerPoint manipulation enabling users to create, edit, and format presentations with 32 tools including templates, charts, images, and professional design features.

A server that provides PowerPoint presentation creation and editing capabilities through the Model Context Protocol, allowing users to create slides, add text, images, shapes and other content programmatically.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

A Model Context Protocol server that enables AI models to create and manipulate PowerPoint presentations with advanced features like financial charts, formatting, and template management.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables users to create, edit, and manage PowerPoint presentations across Windows, macOS, and Linux through natural language via Claude Desktop. It provides comprehensive automation for slide management, text manipulation, and presentation styling using platform-specific adapters.

A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.

Enables AI agents to start, control, and verify local open.mp/SA-MP game servers via MCP stdio, using a headless RakClient to send allowed slash commands and assert round-trip responses.

A server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.

Enables deploying and connecting to MCP servers on Cloudflare Workers with OAuth login, allowing remote access to tools via MCP clients like Claude Desktop.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.