PowerPoint MCP Server (ytthuan/powerpoint-python-pptx-mcp) is an MCP server listed on the M8ven Trust Index. It scores 73 out of 100, grade C. It declares 28 tools. No publisher has claimed this listing.

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C
Limited view
73/100
2 months ago

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.

→ ytthuan/powerpoint-python-pptx-mcp· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

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Who stands behind it

ytthuan

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
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
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

28/28 tools missing one or more hints — update_slide_text (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); replace_slide_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); add_text_box (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +25 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// 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)](https://m8ven.ai/mcp/ytthuan/powerpoint-python-pptx-mcp)
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commit: ae57fb264471712db6857261433e66a1a2bcb5c5
code hash: d73676fdf03b636d06d3baa8b85d3c18367fbb9eebf5e0d74049534f964b871b
verified: 6/24/2026, 10:26:15 AM
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