Slideshow Studio MCP (Nicopradas/slideshow-studio-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 15 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

Slideshow Studio MCP

Replicate viral TikTok slideshows in your niche by talking to your agent. It generates images locally or via API and assembles the final result.

→ Nicopradas/slideshow-studio-mcp· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

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Who stands behind it

Nicopradas

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
🚨
Secret credentials may flow to a network call
1 flow detected: SLIDESHOW_TOKEN. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 2 credentials: OPENROUTER_API_KEY, SLIDESHOW_TOKEN
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.
configCODEX_BINRuta de Codex, si el conector no lo encuentra solo
configCODEX_PARALLELGeneraciones simultáneas de Codex (2)
configFLUX_MODEL
configFLUX_SIZE
configFLUX_STEPS
configFLUX_URLDraw Things, si no está en el puerto 7860
configMAX_BATCHTope de slideshows por tanda (10)
configMAX_REFERENCE_IMAGESCuántas slides de una referencia ve el agente (20)
🔐 secretOPENROUTER_API_KEYSi generas con OpenRouter
configPROGRESS_EVERY
configSLIDESHOW_APIURL de la webapp
🔐 secretSLIDESHOW_TOKENTu token personal
// 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

15/15 tools missing one or more hints — start_slideshow (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_profiles (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); setup_profile (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +12 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

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 4 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/nicopradas/slideshow-studio-mcp)](https://m8ven.ai/mcp/nicopradas/slideshow-studio-mcp)
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commit: 2dbb1c9a369651d200205b106b30aca326dccc38
code hash: a0b95c6e54f40b36b57141d3380fb350587013be2bb8a1f24b6ebdee2e48f2ca
view raw JSON →
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