MultiAgent PPT
MultiAgentPPT 是一个集成了 A2A(Agent2Agent)+ MCP(Model Context Protocol)+ ADK(Agent Development Kit) 架构的智能化演示文稿生成系统,支持通过多智能体协作和流式并发机制
What is MultiAgent PPT?
MultiAgent PPT is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to multiagentppt 是一个集成了 a2a(agent2agent)+ mcp(model context protocol)+ adk(agent development kit) 架构的智能化演示文稿生成系统,支持通过多智能体协作和流式并发机制
MultiAgentPPT 是一个集成了 A2A(Agent2Agent)+ MCP(Model Context Protocol)+ ADK(Agent Development Kit) 架构的智能化演示文稿生成系统,支持通过多智能体协作和流式并发机制
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MultiAgentPPT 是一个集成了 A2A(Agent2Agent)+ MCP(Model Context Pro
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx multiagentpptConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MultiAgent PPT
MultiAgent PPT is an intelligent presentation generation system integrating Agent-to-Agent (A2A) coordination, Model Context Protocol, and Agent Development Kit architecture. When connected to Claude, this server enables multi-agent collaboration for concurrent, streaming presentation creation—turning complex slide generation into a coordinated multi-agent workflow.
Prerequisites
- Python 3.8+ installed
- An MCP client such as Claude Desktop, Cursor, or VS Code
- FastAPI or similar async framework available
Clone the MultiAgent PPT repository
Clone the repository to access the multi-agent presentation system.
git clone https://github.com/johnson7788/MultiAgentPPT.git
cd MultiAgentPPTInstall dependencies
Install Python dependencies for multi-agent orchestration.
pip install -r requirements.txtConfigure the MCP client
Add MultiAgent PPT to your Claude Desktop configuration.
{
"mcpServers": {
"multiagent-ppt": {
"command": "python",
"args": ["-m", "multiagentppt"]
}
}
}Restart your MCP client
Restart Claude Desktop or Cursor to load the multi-agent presentation server.
MultiAgent PPT Examples
Client Configuration Example
Configuration for MultiAgent PPT in your MCP client:
{
"mcpServers": {
"multiagent-ppt": {
"command": "python",
"args": ["-m", "multiagentppt"]
}
}
}Prompts to try
Example prompts for multi-agent presentation creation:
1. "Generate a presentation about Q4 sales results with 5 slides using multiple agents"
2. "Create a pitch deck for investors with agent-based content generation"
3. "Build a training presentation with concurrent agent-driven slide creation"
4. "Generate slides with different agents handling design, content, and layout"Troubleshooting MultiAgent PPT
Multi-agent coordination fails or agents timeout
Check the repository README for async configuration and agent coordination settings. Increase timeout values if agents need more time for complex slides.
Generated presentations have formatting issues
Verify all dependencies are correctly installed and verify python-pptx is compatible with your Python version. Check the repository issues for known formatting problems.
Frequently Asked Questions about MultiAgent PPT
What is MultiAgent PPT?
MultiAgent PPT is a Model Context Protocol (MCP) server that multiagentppt 是一个集成了 a2a(agent2agent)+ mcp(model context protocol)+ adk(agent development kit) 架构的智能化演示文稿生成系统,支持通过多智能体协作和流式并发机制 It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MultiAgent PPT?
Follow the installation instructions on the MultiAgent PPT GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MultiAgent PPT?
MultiAgent PPT works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MultiAgent PPT free to use?
Yes, MultiAgent PPT is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Business Applications MCP Servers
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Set Up MultiAgent PPT in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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