Bring Image Generation
to Claude Code
Learn how to connect Bannerbear (Image Gen) to Claude Code and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Bannerbear (Image Gen) MCP Server?
Connect your Bannerbear account to any AI agent and automate your design and marketing workflows through natural conversation.
What you can do
- Template Management — List all available templates in your project and fetch detailed layer information using
list_templatesandget_template. - Dynamic Image Generation — Create new images by applying text, color, or image modifications to templates with
create_image. - Video Creation — Generate videos based on video templates and input data frames using
create_video. - Bulk Collections — Process multiple images at once for high-volume workflows using the
create_collectionaction. - Asset Retrieval — Fetch the status and final URLs of your generated images using
get_imageto ensure they are ready for use.
How it works
- Subscribe to this server
- Enter your Bannerbear API Key
- Start generating visual content from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Teams — instantly generate social media banners, ad variations, and personalized content without opening a design tool.
- Developers — automate dynamic OG images or PDF generation directly from the code editor or terminal.
- Content Creators — quickly produce thumbnails and headers by simply describing the text and template you want to use.
Built-in capabilities (6)
Create multiple images at once as a collection
Create an image based on a template
Create a video based on a video template
Retrieve the details of a previously created image
Retrieve the details of a specific template
Retrieve a list of templates in your project
Why Claude Code?
Claude Code registers Bannerbear (Image Gen) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 6 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Bannerbear (Image Gen) data drives decisions without human intervention.
- —
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
- —
Claude Code runs headlessly, enabling unattended batch processing using Bannerbear (Image Gen) tools in cron jobs or deployment scripts
- —
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Bannerbear (Image Gen) in Claude Code
Bannerbear (Image Gen) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Bannerbear (Image Gen) 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 Bannerbear (Image Gen) in Claude Code
The Bannerbear (Image Gen) 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 6 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
Bannerbear (Image Gen) for Claude Code
Every tool call from Claude Code to the Bannerbear (Image Gen) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see which templates are available in my Bannerbear project?
You can use the list_templates tool. It will return a list of all templates associated with your API key, including their names and unique UIDs.
Can I generate a video using this integration?
Yes! Use the create_video tool by providing a video template UID and the necessary input data for the frames. The AI will handle the request and return the video details.
How do I check if my image has finished rendering?
Use the get_image tool with the image UID. It will return the current status (e.g., 'completed') and the public URL of the image once it is ready.
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
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