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Connect Bannerbear Image Gen to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Generate high-volume marketing assets from templates.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Bannerbear.

  1. 01

    Get image

    Retrieve the details of a previously created image

  2. 02

    Get template

    Retrieve the details of a specific template

  3. 03

    Create collection

    Create multiple images at once as a collection

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Bannerbear.

  1. 04

    Create image

    Create an image based on a template

  2. 05

    Create video

    Create a video based on a video template

  3. 06

    List templates

    Retrieve a list of templates in your project

Real work

What teams actually run

01

A/B Testing Ad Campaigns

You need 10 versions of an ad banner, each with different headlines. The agent uses the template and generates all 10 images in one go.

02

Personalized Onboarding Emails

Instead of sending generic images, you generate a unique welcome banner for every new user, pulling their name and account details.

03

Blog Thumbnail Batching

You finish writing 20 articles and need 20 unique thumbnails. The agent uses a template and generates them all in a collection.

04

Product Launch Videos

You need a short video showing a product in action. The agent uses the video template and injects product specs and pricing data.

Automate a task

Put Bannerbear to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Bannerbear works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Bannerbear to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

954ms average. Fast in production.

Bannerbear is checked daily against the live service.

Daily averagePeak 1288ms
Oct 3Today
Fastest day
715ms
Slowest day
1288ms
14-day trend
Slowing+35%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Bannerbear, so you can see the experience inside your AI.

It does not authenticate your account with Bannerbear. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Bannerbear Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_nce9giNkW1aWmmFabPEkDUu08t0njz3Dff3KDRDw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Bannerbear capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "bannerbear-image-gen-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nce9giNkW1aWmmFabPEkDUu08t0njz3Dff3KDRDw/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Bannerbear in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Bannerbear owners hand off.

This MCP is built for teams that need to generate visual content at scale. If your job involves creating variations of the same asset—like ad copy for A/B testing or personalized banners—this connector handles the heavy lifting. It lets you keep your focus on the message, not the design software.

  • 01

    Marketing Teams

    Generate social media banners, ad variations, and personalized content without ever opening a design capability.

  • 02

    Developers

    Automate dynamic OG images or PDF generation directly from your code editor or terminal.

  • 03

    Content Creators

    Quickly produce thumbnails and headers by simply describing the text and template you want to use.

FAQ

Questions Bannerbear owners ask.

  • 01

    Does this MCP only generate images?

    No, it handles both images and video. You can use the create_image capability for static assets, and the create_video capability for dynamic video content.

  • 02

    What if I need to change the text on an image?

    You don't need to manually edit the template. You simply describe the change to your agent, and it uses the create_image capability to generate a new version with the updated text.

  • 03

    Is this good for large numbers of assets?

    Yes. The create_collection capability is designed specifically for high-volume workflows, allowing you to process multiple images simultaneously.

  • 04

    How do I check if my generated image is finished?

    After requesting an image, use the get_image capability. This checks the status and provides the final URL once the asset is ready for use.

  • 05

    How can I see which templates are available in my Bannerbear project?

    You can use the list_templates capability. It will return a list of all templates associated with your API key, including their names and unique UIDs.

  • 06

    Can I generate a video using this integration?

    Yes! Use the create_video capability 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.

  • 07

    How do I check if my image has finished rendering?

    Use the get_image capability with the image UID. It will return the current status (e.g., 'completed') and the public URL of the image once it is ready.

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