Install command
Provided
Upload, manage, transform, and analyze media assets in the cloud
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
Decision playbook
Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.
0
96
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Source link availableRequired
Open the canonical repository and verify ownership.
Source provenance statusRequired
Marked as first-party.
Metadata reviewed
Registry metadata indicates a reviewed listing.
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Trust level risk gateRequired
Trust level does not block evaluation.
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Package verification flag
Package marked verified.
Checksum metadata
SHA-256 hash is present.
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Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy-ready — paste the snippet to get started.
Install command
Provided
Config snippet
Provided
Copy snippet
Provided
Prerequisites
10 to clear
Platforms
4 listed
Difficulty
0/100
Adoption plan
Current risk score 0/100. Use staged verification before broader rollout.
Validate source and review signals before any execution.
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Source URL/provenance metadata is present.
Confirm metadata review state
Listing has review metadata.
Verify install payload
Install/config payload exists and can be inspected.
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Review privacy notesRequired
Privacy notes are present.
Verify package integrity metadata
Package verification/checksum metadata is available.
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Required evidence gates are covered (6/6 signals complete).
Source repository/provenance is listed.
Required in this preset
Review metadata is present.
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Safety notes are present.
Required in this preset
Privacy notes are present.
Optional in this preset
Package integrity metadata is present.
Optional in this preset
Install payload is available.
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Required evidence gates are covered for this preset.
Decision timeline
6/6 steps complete with no blocking gaps for this preset.
triage
Source/provenance metadata is available.
triage
Review metadata is available.
verify
Safety notes are available.
verify
Privacy notes are available.
verify
Package integrity metadata is available.
rollout
Install payload is available.
No required blockers for this timeline preset.
Prerequisite readiness
10 prerequisites to line up before setup. Have accounts and credentials ready first.
Safety & privacy surface
1 safety and 1 privacy notes across 2 risk areas. Review closely: credentials & tokens.
{
"cloudinary": {
"env": {
"CLOUDINARY_API_KEY": "${CLOUDINARY_API_KEY}",
"CLOUDINARY_API_SECRET": "${CLOUDINARY_API_SECRET}",
"CLOUDINARY_CLOUD_NAME": "${CLOUDINARY_CLOUD_NAME}"
},
"url": "https://mcp.cloudinary.com/",
"transport": "http"
}
}Manage and transform media assets through Cloudinary's comprehensive cloud-based media platform.
{
"cloudinary": {
"env": {
"CLOUDINARY_API_KEY": "${CLOUDINARY_API_KEY}",
"CLOUDINARY_API_SECRET": "${CLOUDINARY_API_SECRET}",
"CLOUDINARY_CLOUD_NAME": "${CLOUDINARY_CLOUD_NAME}"
},
"url": "https://mcp.cloudinary.com/",
"transport": "http"
}
}
Common usage pattern for this MCP server
Ask Claude: "Resize all product images to 800x600"
Common usage pattern for this MCP server
Ask Claude: "Apply watermark to videos"
Common usage pattern for this MCP server
Ask Claude: "Generate responsive image sets"
Common usage pattern for this MCP server
Ask Claude: "Optimize images for web delivery"
Upload an image to Cloudinary with automatic transformations and tagging
// Upload image to Cloudinary with transformations
const result = await cloudinary.uploader.upload("image.jpg", {
folder: "products",
transformation: [
{ width: 800, height: 600, crop: "fill" },
{ quality: "auto", fetch_format: "auto" },
],
tags: ["product", "featured"],
});
Admin API limits: Free plan 500/hour, Paid 2000/hour. Wait for hourly reset or upgrade plan. Use Retry-After header to time your next request. Upload API has no rate limits.
Verify CLOUDINARY_CLOUD_NAME, API_KEY, and API_SECRET are correctly set. Check signed URLs for add-ons or Strict Transformation mode. Regenerate credentials from Cloudinary Console if authentication fails.
Verify transformation parameters are valid and supported. Check account tier for transformation quota limits. Ensure URL is properly signed for Strict Transformations mode if enabled.
Check file size against your account tier limits (typically 10-100MB). For larger files, use chunked uploads. Verify network connectivity and increase timeout settings for large files.
Verify API key and secret are valid and not expired. Check credentials match the correct cloud name. Ensure credentials are properly configured in environment variables. For signed URLs, verify signature generation is correct.
Check file size limits (100MB for free tier, 10GB for paid). Verify upload preset permissions allow uploads. Ensure network connectivity is stable. For large files, use chunked upload API with resumable upload support.
Implement exponential backoff retry logic with jitter. Use Cloudinary API rate limit headers to monitor usage. Reduce concurrent requests. Cache frequently accessed asset URLs. Request rate limit increases from Cloudinary support if needed.
Check network connectivity and firewall settings. Verify Cloudinary API endpoints are accessible. Increase request timeout values. Implement connection pooling and retry mechanisms with exponential backoff.
Cloudinary MCP Server - MCP Servers side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).
| Field | Upload, manage, transform, and analyze media assets in the cloud Open dossier | Build video creation capabilities into your applications Open dossier | Official MiniMax MCP server for using MiniMax text-to-speech, voice cloning, voice design, image generation, video generation, music generation, and media retrieval APIs from Claude and other MCP clients. Open dossier | Interact with Asana workspaces to manage projects and tasks Open dossier |
|---|---|---|---|---|
| Next steps | ||||
| Trust | ||||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trustDiffers | Package verified | Package verified | Package not verified | Package verified |
| Source provenanceDiffers | Source-backed | No submission link | Source-backed | No submission link |
| SubmitterDiffers | — | — | oktofeesh1 | — |
| Install risk | Low risk | Low risk | Review first | Low risk |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | ||||
| Category | mcp | mcp | mcp | mcp |
| Source | first-party | first-party | source-backed | first-party |
| Author | Cloudinary | invideo | MiniMax-AI | Asana |
| Added | 2025-09-18 | 2025-09-18 | 2026-06-06 | 2025-09-18 |
| Platforms | Claude CodeCodexCursorClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop |
| Source repo | — | — | — | — |
| Safety notes | ✓Use constrained Cloudinary credentials and review destructive or bulk asset operations before enabling media management actions. | ✓Review generated video scripts, visuals, and exports before publishing or sharing them from production brand accounts. | ✓Most generation tools call MiniMax APIs and can incur account costs; only enable them for users who are authorized to spend from the MiniMax account. Voice cloning and voice design can create synthetic voices; obtain consent and rights for any source audio or identity-like voice prompt before use. Image-to-video, voice cloning, audio playback, and local output modes can read local files or URLs and send media to MiniMax APIs. Generated image, audio, video, and music outputs should be reviewed for policy, copyright, likeness, brand, and release constraints before publication. The API key and API host must match the selected region or requests can fail with authentication errors. | ✓Use a least-privilege Asana token and test task or project writes in a non-critical workspace before connecting production workflows. |
| Privacy notes | ✓Media assets, filenames, metadata, transformations, tags, delivery URLs, and account details may be sent through tool calls. | ✓Prompts, uploaded media, brand assets, project metadata, and generated video content may be sent through tool calls. | ✓Prompts, preview text, lyrics, source audio, first-frame images, uploaded files, generated media requests, and task IDs may be sent to MiniMax APIs and included in MCP client or model logs. MINIMAX_API_KEY must stay in environment variables or secret managers and should never be committed to MCP config files. Local output mode can write generated files under the configured base path, and returned file paths may reveal workstation directory structure to the MCP client. URL resource mode returns generated media URLs that may need access controls, retention review, and sharing policy before being pasted into chats or tickets. | ✓Asana task text, project metadata, comments, assignees, due dates, and workspace details may be sent through model context. |
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| Citations | ||||
| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
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