Compatible with every major AI agent and IDE
What is the APImage MCP Server?
Connect your APImage account to any AI agent and manage your entire image generation and editing workflow through natural conversation.
What you can do
- Text-to-Image — Generate images from text descriptions using multiple AI models (Flux, Stable Diffusion, DALL-E)
- Background Removal — Remove backgrounds from any image and receive transparent PNGs
- Prompt Enhancement — Automatically expand simple prompts into detailed descriptions for better results
- Image Upscaling — Increase image resolution by 2x or 4x while preserving quality
- Image-to-Image — Transform existing images based on text prompts while keeping general structure
- Inpainting — Fill in masked areas of images with AI-generated content based on text prompts
- Model Selection — Browse available AI models and choose the best one for each task
- Generation History — Review all previously generated images with prompts, parameters, and download URLs
How it works
- Subscribe to this server
- Enter your API Key from your APImage account settings
- Start generating images from Claude, Cursor, or any MCP client
Who is this for?
- Designers — generate concept art and mockups directly from the code editor
- Marketing Teams — create campaign visuals and product images on demand
- Developers — automate asset creation for apps and websites
Built-in capabilities (10)
Verify API connectivity
Enhance a generation prompt
Optionally specify the model. Generate an image from a prompt
Get generation details
Transform an image with a prompt
Inpaint a masked region
List generation history
List available models
Remove image background
Upscale an image
Why Claude Code?
Claude Code registers APImage as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where APImage data drives decisions without human intervention.
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Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using APImage tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
APImage in Claude Code
APImage and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect APImage to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for APImage in Claude Code
The APImage MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
APImage for Claude Code
Every tool call from Claude Code to the APImage MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Which AI image models are available?
Use the list_models tool to see all supported models. Current options include Flux 1 Dev, Flux 1 Schnell, Stable Diffusion XL, and DALL-E 3. Each model has different strengths for various visual styles.
Can my AI upscale an image and remove its background in one session?
Yes. Use upscale_image first to increase resolution, then remove_background on the result. Both tools accept image URLs, so you can chain operations seamlessly.
How does inpainting work?
The inpaint_image tool requires three inputs: the source image URL, a mask image URL (white areas = regions to fill), and a text prompt describing what to generate in those areas. The AI fills the masked regions while preserving the rest of the image.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
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