Is PPTAgent open source?
Yes, PPTAgent is open source. The codebase is available on GitHub and the model and data are released on HuggingFace.
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Basic information
Please run `uv pip install pptagent` first
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pptagent": {
"command": "uv",
"args": [
"run",
"--with",
"pptagent",
"--with",
"python-pptx@git+https://github.com/Force1ess/python-pptx@219513d7d81a61961fc541578c1857d08b43aa2a",
"pptagent-mcp"
],
"env": {
"PPTAGENT_MODEL": "openai/gpt-4.1",
"PPTAGENT_API_BASE": "http://localhost:8000/v1",
"PPTAGENT_API_KEY": "your_key"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
PPTAgent is an MCP server that automatically generates presentations from documents. It uses a two-step process inspired by human presentation creation, and includes PPTEval, a comprehensive evaluation framework for assessing presentation quality across multiple dimensions.
Get started quickly with the pre-built Docker image or configure the MCP server as described in the documentation. Refer to DOC.md for detailed Docker and MCP server instructions.
Yes, PPTAgent is open source. The codebase is available on GitHub and the model and data are released on HuggingFace.
PPTAgent uses a two-phase process: an Analysis phase that learns patterns from reference presentations, and a Generation phase that produces structured outlines and visually cohesive slides.
PPTEval is a comprehensive evaluation framework that assesses presentations across three dimensions: Content (accuracy and relevance), Design (visual appeal and consistency), and Coherence (logical flow).
The quickest way is to use the pre-built Docker image. See the Docker instructions in the documentation for details.
Yes, a paper titled "PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides" has been accepted to EMNLP 2025 and is available on arXiv.
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