"How to create a PowerPoint presentation" matching MCP servers:

Enables AI agents to create, edit, and manage native Windows PowerPoint presentations via COM, including connecting to existing instances, inspecting master layouts, adding slides, inserting custom shapes, exporting slide images for visual review, and saving—all through the Model Context Protocol.

An MCP server that gives AI agents real-time control over Microsoft PowerPoint via COM automation, offering 156 tools across 26 categories for creating, editing, and formatting presentations directly in a running PowerPoint instance.

Full-featured PowerPoint MCP server with cross-platform support (Windows native, macOS designed). Control PowerPoint programmatically via the Model Context Protocol — 153 tools covering slides, shapes, text, formatting, charts, tables, animations, and more.

Provides tools for editing an already-open PowerPoint presentation in real time, including slide, shape, text, formatting, note, comment, and export operations, without launching a separate PowerPoint instance.

Creates and manipulates PowerPoint presentations with capabilities for adding various slide types, generating images, and incorporating tables and charts through natural language commands.

Enables PowerPoint automation on Windows, including template-based creation, real-time editing, LaTeX equations, animations, and multimodal slide analysis, all via natural language.

Enables AI assistants to programmatically create, manipulate, and analyze Microsoft PowerPoint presentations with advanced formatting and template management.

Automate PowerPoint with AI through live COM automation, enabling AI assistants to build and edit real .pptx presentations via natural language.

Enables AI agents to interact with PowerPoint presentations through natural language commands, supporting reading, editing, slide management, and automated speaker notes processing.

A server that enables creating and editing PowerPoint presentations programmatically through the Model Context Protocol, supporting features like adding slides, images, textboxes, charts, and tables.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

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.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

A TypeScript-based middleware that translates Claude AI's decisions into OBS WebSocket commands, enabling solo creators to automate streaming production without manual technical management.

Enables conversational, deterministic inspection, editing, rendering, and validation of PowerPoint (.pptx) presentations, allowing agentic creation and modification of slides with style preservation and visual verification.

Enables AI assistants to create, open, and manipulate PowerPoint presentations through MCP, with HTTP file upload and download for use in Docker environments.

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.