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13 days ago
glama

PowerPoint MCP Server

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

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: AUDIO_KEY, SPEECH_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMCP_ENVproduction # development, staging, or production
configMCP_MAX_FILE_SIZE1048576000 # 1000MB
configMCP_WORKSPACE_DIRS/path/to/presentations
configMCP_ENFORCE_WORKSPACE_BOUNDARY
configMCP_ENABLE_CACHE
configMCP_CACHE_SIZE
configMCP_LOG_LEVEL
configMCP_LOG_FILE/var/log/mcp-server.log
configMCP_ENABLE_STRUCTURED_LOGGING
configAZURE_AI_PROJECT_ENDPOINT
configMODEL_DEPLOYMENT_NAME
configAUDIO_ENDPOINT
configSPEECH_ENDPOINT
configENDPOINT
configAUDIO_DEPLOYMENT
configSPEECH_DEPLOYMENT
🔐 secretAUDIO_KEY
🔐 secretSPEECH_KEY
configAUDIO_REGION
configSPEECH_REGION
configAUDIO_API_VERSION
configMCP_ENABLE_METRICS
configMCP_ENABLE_AUDIT_LOGGING
configMCP_RESOURCE_SEARCH_PATHS
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/ytthuan-powerpoint-python-pptx-mcp-ql96mt)](https://m8ven.ai/mcp/ytthuan-powerpoint-python-pptx-mcp-ql96mt)
commit: ae57fb264471712db6857261433e66a1a2bcb5c5
code hash: d73676fdf03b636d06d3baa8b85d3c18367fbb9eebf5e0d74049534f964b871b
verified: 6/24/2026, 10:26:15 AM
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