Server data from the Official MCP Registry
Generate images and PDFs from your Bannerify templates, or compose an image from shapes.
About
Generate images and PDFs from your Bannerify templates, or compose an image from shapes.
Remote endpoints: streamable-http: https://api.bannerify.co/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
6 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-bannerify-bannerify": {
"url": "https://api.bannerify.co/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Bannerify MCP server
Bannerify runs a remote Model Context Protocol server at https://api.bannerify.co/mcp. Connect it to Claude, Cursor, VS Code, Codex or another MCP client, and the assistant can generate images and PDFs from your Bannerify templates.
This repository holds the setup steps and the registry metadata. The server is hosted: there is nothing to install or run.
- Transport: Streamable HTTP
- Auth: OAuth with dynamic client registration. You sign in to Bannerify and choose a workspace on a consent page. You create no API key.
- Registry name:
io.github.bannerify/bannerify
Tools
| Tool | What it does |
|---|---|
list_templates | Lists the templates in the workspace, optionally with the layers you can change |
get_template | Reads one template and its layers |
get_project | Reads the workspace: id, name, plan and creation date |
create_image | Renders a template as PNG, JPEG or WebP |
create_pdf | Renders a template as a PDF and returns a link to it |
create_image_from_shapes | Composes a one-off image from shapes, with no template |
Connect
Claude Code
claude mcp add --transport http bannerify https://api.bannerify.co/mcp
Then run /mcp in Claude Code and sign in.
Claude
Open Customize > Connectors, click + Add, then Add custom connector. Enter Bannerify and https://api.bannerify.co/mcp.
Cursor
.cursor/mcp.json:
{
"mcpServers": {
"bannerify": {
"url": "https://api.bannerify.co/mcp"
}
}
}
VS Code
.vscode/mcp.json:
{
"servers": {
"bannerify": {
"type": "http",
"url": "https://api.bannerify.co/mcp"
}
}
}
Codex
codex mcp add bannerify --url https://api.bannerify.co/mcp
codex mcp login bannerify
Other clients
Enter https://api.bannerify.co/mcp, with the HTTP transport and OAuth sign-in.
Example requests
- "List my Bannerify templates, with the layers of each one."
- "Create a PNG from my Lifecycle email template. Set the headline to Welcome back."
- "Create a PDF from my invoice template for Acme Studio."
- "Design a 1200 by 630 banner with a dark background and the text Launch week."
Limits
A generation from an MCP client counts toward the same plan limits as the REST API. The free plan has 100 images a month. See pricing.
Docs
Support
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