PPT-Agent MCP服务器提供了通过大型语言模型(LLM)创建、编辑和管理PowerPoint演示文稿的能力。该服务器实现了Model Context Protocol (MCP)规范,使LLM能够通过标准接口与PPT-Agent工具进行交互。
If you already use Ppt MCP Ori, the ppt mcp ori mcp server is the piece that lets your assistant work with it directly. PPT-Agent MCP服务器提供了通过大型语言模型(LLM)创建、编辑和管理PowerPoint演示文稿的能力。该服务器实现了Model Context Protocol (MCP)规范,使LLM能够通过标准接口与PPT-Agent工具进行交互。.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Windows — %APPDATA%\Claude\claude_desktop_config.jsonmacOS — ~/Library/Application Support/Claude/claude_desktop_config.jsoncreatePresentation — 创建新的空白演示文稿savePresentation — 保存演示文稿到指定路径addSlide — 添加新的幻灯片selectSlide — 选择当前操作的幻灯片setBackgroundColor — 设置幻灯片背景颜色setBackgroundSvg — 设置幻灯片SVG背景addShape — 添加形状到幻灯片addLine — 添加线条到幻灯片addColumnChart — 添加柱状图到幻灯片addPieChart — 添加饼图到幻灯片This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Ppt MCP Ori's toolset — Windows, macOS, createPresentation and 11 more — is a fair guide to whether it matches your workflow. It is maintained by PrincessGray; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Ppt MCP Ori's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| createPresentation | 创建新的空白演示文稿 |
| savePresentation | 保存演示文稿到指定路径 |
| addSlide | 添加新的幻灯片 |
| selectSlide | 选择当前操作的幻灯片 |
| setBackgroundColor | 设置幻灯片背景颜色 |
| setBackgroundSvg | 设置幻灯片SVG背景 |
| addShape | 添加形状到幻灯片 |
| addLine | 添加线条到幻灯片 |
| addColumnChart | 添加柱状图到幻灯片 |
| addPieChart | 添加饼图到幻灯片 |
| addLineChart | 添加折线图到幻灯片 |
| addAnimation | 为形状添加动画效果 |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.