DeepImage
AI Image Enhancer to Generate & Upscale
Verdict
Common use cases
- Upscale product photos for e-commerce listings
- Restore old photos for archival projects
- Sharpen blurry screenshots before sharing
- Remove noise from low-light event photos
- Prep social media images in chat
Integration
- Vendor
- DeepImage
- Category
- other
- Auth
- API_KEY
- Tools
- 5
- Composio slug
deepimage
Tools
- Delete Jobdestructive
Tool to delete completed job result and remove images from the server. Use when cleaning up processed jobs that are no longer needed.
- Get Account Information
Tool to retrieve authenticated user's profile information including credits, username, email, API key, language preference, webhook settings, and billing address. Use when you need to check account details or credit balance.
- Get Job Result
Tool to retrieve processing job result by hash. Use to check job status and get result URL when processing is complete.
- Process Image Async
Tool to schedule an image enhancement job and wait for the result. Performs selected enhancement options on an image and returns the result URL if processing completes within 25 seconds; otherwise returns a job hash for later retrieval. Use
- Process Image Synchronously
Tool to process an image synchronously with Deep Image AI. Returns result URL immediately if processing completes in less than 25 seconds, otherwise returns job hash for async polling. Use for image enhancement, resizing, background removal
Setup
Setup guide
- 11. Open your Switchy workspace settings and navigate to the Integrations tab. 2. Click 'Add MCP Integration' and select DeepImage from the list. 3. Sign up at deepimage.ai if you don't have an account, then copy your API key from the account dashboard. 4. Paste the API key into Switchy's connection form and click 'Connect'. 5. Switchy will verify the key by fetching your account info — you'll see your username and remaining credits if successful. 6. Open any Space and type '@DeepImage check my account' to confirm the connection works. 7. To enhance an image, share the image URL in the Space and @mention DeepImage with instructions like '@DeepImage upscale this photo and remove noise'. 8. For quick jobs, the result URL appears in seconds; for longer processing, you'll get a job hash to poll with '@DeepImage get result for [hash]'. 9. Delete completed jobs with '@DeepImage delete job [hash]' to free up server storage.
What teammates see: by default, memories from DeepImage are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
Check Credit Balance
@DeepImage get my account information and tell me how many credits I have leftOpen in a Space →
Upscale Product Image
@DeepImage process this image synchronously: [paste image URL]. Apply upscaling and noise reduction.Open in a Space →
Restore Old Photo
@DeepImage process this image asynchronously: [paste image URL]. Use restoration and sharpening options, then show me the result.Open in a Space →
Batch Job Status
@DeepImage get the result for job hash [paste hash]. If it's still processing, let me know the status.Open in a Space →
Clean Up Completed Job
@DeepImage delete the job with hash [paste hash] since I've already downloaded the enhanced imageOpen in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@DeepImage enhance this product photo to 4K resolution with noise reduction and light adjustment
I've submitted your image for enhancement. The processing completed in 18 seconds. Your enhanced 4K image is now available at the result URL. The enhancement applied noise reduction to clean up grain from the original shot, upscaled the resolution to 3840×2160, and adjusted lighting to balance the exposure across the product. The file size increased from 2.1MB to 8.7MB due to the higher resolution.
This example shows synchronous processing, which returns results immediately for jobs under 25 seconds. For larger images or multiple enhancements, the MCP automatically switches to async mode and returns a job hash instead. Requires API key authentication and consumes credits from your DeepImage account balance per enhancement operation.
@DeepImage check my account credits and tell me how many enhancements I can run this month
Your DeepImage account shows 847 credits remaining. Based on your current plan, standard enhancements consume 1 credit per image, while 4K upscaling uses 3 credits. At this rate, you can process approximately 847 standard enhancements or 282 4K upscales before needing to purchase additional credits. Your account is set to English language preference, and webhook notifications are disabled.
This read-only query demonstrates account introspection without consuming credits. Useful for budget planning before batch processing jobs. The credit consumption rate varies by enhancement type—always check current pricing in your DeepImage dashboard, as rates may change. This query requires valid API key authentication.
@DeepImage process these 12 team headshots asynchronously, then summarize which ones finished and which failed
I've queued all 12 headshots for enhancement. After polling the job results: 10 images completed successfully with standard enhancement (noise reduction and sharpening applied). 2 images failed—one due to an unsupported file format (HEIC), and another exceeded the 25MB size limit. The successful images are now available at their result URLs. Total processing time was approximately 3 minutes across all jobs. I've cleaned up the completed job data from DeepImage's servers using the delete tool.
This example chains multiple MCP tools: async processing for batch jobs, polling for results, and cleanup via delete. The AI synthesizes success/failure patterns across the batch. Be aware that async jobs consume credits immediately upon submission, even if they later fail. Failed jobs don't refund credits, so validate image formats and sizes before bulk processing.
Use-case deep-dives
When DeepImage fits a small catalog refresh workflow
A 3-person Shopify store team needs to upscale 200 product photos shot on phones before a seasonal launch. DeepImage's sync tool handles images under 25 seconds, so if your photos are under 2MB and you're batching them through a script, this MCP keeps the workflow in one place—no manual upload/download loops. The account info tool lets you check remaining credits mid-batch so you don't hit a wall at photo 150. Trade-off: if you're processing 2,000+ images or need custom watermarking, a bulk API like Cloudinary scales better. For sub-500 image refreshes where you want AI upscaling without leaving your workspace, DeepImage is the right call.
Why this MCP works for ad creative QA
A 5-person growth team runs Facebook ads and needs to enhance low-res user-generated content before publishing. DeepImage's async job pattern fits here: you queue 10 images, poll results with the job hash tool, and delete processed files once ads are live—all scripted in Switchy without switching to a vendor dashboard. The 25-second sync threshold means most mobile uploads finish in one call. Boundary case: if your team processes video thumbnails or needs batch exports to Google Drive, this MCP doesn't cover those workflows—you'd need a separate integration. For teams enhancing 20-50 images per week as part of ad prep, DeepImage keeps the pipeline tight.
When DeepImage handles agent photo workflows
A 2-agent real estate team photographs 5-10 listings per week and needs to sharpen images before uploading to MLS portals. DeepImage's sync tool processes standard listing photos (1-3MB) in under 25 seconds, so agents can enhance a full shoot in one sitting without waiting on email delivery or vendor portals. The delete job tool cleans up server storage after each listing goes live, avoiding clutter. Limitation: if your brokerage requires batch watermarking or you're processing 50+ listings weekly, a dedicated real estate photo platform like BoxBrownie offers more automation. For small teams doing 10-40 images per week where quality matters more than volume, this MCP fits the cadence.
Frequently asked
What does the DeepImage MCP do in Switchy?
It lets your team enhance images using DeepImage's AI processing directly from Switchy. You can upscale photos, reduce noise, sharpen details, and apply other enhancements without leaving your workspace. The MCP handles both quick synchronous jobs (results in under 25 seconds) and longer async jobs that you poll for completion.
Do I need a DeepImage account to use this MCP?
Yes. You need an active DeepImage account with API key access. The MCP authenticates using your API key, which ties processing jobs to your account's credit balance. Whoever connects the MCP should have access to the team's DeepImage API credentials and understand your monthly credit limits.
Can the DeepImage MCP process multiple images at once?
No. Each tool call processes a single image. If you need to enhance a batch, you'll submit separate jobs and track them individually using the job hash system. For large batches, use the async processing tool and poll results rather than waiting synchronously for each image to finish.
How does this compare to uploading images to DeepImage's website?
The MCP gives you programmatic access inside Switchy workflows, so you can chain image enhancement with other tasks (like uploading to storage or sending to clients). The web interface is better for one-off manual edits. Both consume the same account credits, but the MCP lets you automate repetitive enhancement jobs.
Who should connect the DeepImage MCP to our workspace?
Whoever manages your team's DeepImage account and API keys. They'll need to monitor credit usage since every enhancement job deducts from your shared balance. If multiple people run image processing workflows, make sure someone tracks monthly spend to avoid hitting your plan limit mid-project.