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Vinkius
VS Code CopilotIDE
Bannerbear (Image Gen) MCP Server

Bring Image Generation
to VS Code Copilot

Learn how to connect Bannerbear (Image Gen) to VS Code Copilot and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create CollectionCreate ImageCreate VideoGet ImageGet TemplateList Templates

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Bannerbear (Image Gen)

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_templates and get_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_collection action.
  • Asset Retrieval — Fetch the status and final URLs of your generated images using get_image to ensure they are ready for use.

How it works

  1. Subscribe to this server
  2. Enter your Bannerbear API Key
  3. 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_collection

Create multiple images at once as a collection

create_image

Create an image based on a template

create_video

Create a video based on a video template

get_image

Retrieve the details of a previously created image

get_template

Retrieve the details of a specific template

list_templates

Retrieve a list of templates in your project

Why VS Code Copilot?

GitHub Copilot Agent mode brings Bannerbear (Image Gen) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Bannerbear (Image Gen) in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Bannerbear (Image Gen) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Bannerbear (Image Gen) to VS Code Copilot 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Bannerbear (Image Gen) in VS Code Copilot

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 VS Code Copilot 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.

Bannerbear (Image Gen)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Bannerbear (Image Gen) for VS Code Copilot

Every tool call from VS Code Copilot to the Bannerbear (Image Gen) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

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