About Pixelixe
Pixelixe is a remote MCP server for AI agents that creates editable branded graphics from natural-language requests and reuses templates to produce variants. It is intended for marketing and brand-content teams, with outputs that can be reviewed, edited, and reused.
Key features
- 01Create branded graphics from natural language
- 02Reuse templates and saved documents
- 03Produce campaign visual variants
- 04Support review and editing of outputs
- 05Automate branded visual production
Use cases
- 01Marketing creative automation
- 02Template-based social graphics
- 03Editable graphics for approval
- 04Branded ecommerce content
MCP support
The remote MCP server gives AI agents tools for graphic generation, template reuse, and visual variants. It supports OAuth or Bearer authentication with a Pixelixe API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://studio.pixelixe.com/api/mcp/v1claude mcp add --transport http com-pixelixe-pixelixe https://studio.pixelixe.com/api/mcp/v1{"mcpServers":{"com-pixelixe-pixelixe":{"type":"http","url":"https://studio.pixelixe.com/api/mcp/v1"}}}Open in Cursor{"servers":{"com-pixelixe-pixelixe":{"type":"http","url":"https://studio.pixelixe.com/api/mcp/v1"}}}Open in VS Code{"mcpServers":{"com-pixelixe-pixelixe":{"type":"http","url":"https://studio.pixelixe.com/api/mcp/v1"}}}{"mcpServers":{"com-pixelixe-pixelixe":{"serverUrl":"https://studio.pixelixe.com/api/mcp/v1"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEPixelixe MCP
Pixelixe MCP is a remote MCP server for AI agents that need on-brand graphic generation, editable outputs, reusable templates, and creative automation workflows.
It gives AI agents a brand-safe creative layer to generate graphics from natural language, reuse approved templates, and automate visual variants for marketing, ecommerce, and branded content workflows.
MCP endpoint
https://studio.pixelixe.com/api/mcp/v1
What Pixelixe MCP does
- Create editable, on-brand graphics from natural language
- Reuse templates and saved Pixelixe documents
- Generate visual variants for campaigns, messages, and formats
- Return outputs teams can review, edit, approve, and reuse
- Support creative automation and branded visual production across AI workflows
Why teams use Pixelixe MCP
- Turn AI prompts into editable branded graphics instead of one-off flat images
- Keep creative output aligned with templates, brand rules, and reusable layouts
- Automate marketing creatives, campaign variants, social graphics, and other recurring assets
- Give designers and operators a workflow where outputs can still be reviewed and refined
Typical use cases
- Creative automation for marketing teams
- On-brand graphic generation for AI agents
- Template-based image and graphic variants
- Editable graphics for review and approval workflows
- Branded content production for ecommerce, SaaS, and internal automation
Authentication
Pixelixe MCP supports:
- OAuth for clients that support remote MCP sign-in flows
- Bearer authentication with a Pixelixe API key when a client accepts a custom bearer token
Links
- MCP product page: https://pixelixe.com/mcp-server/
- MCP docs: https://pixelixe.com/docs/mcp/
- API for AI overview: https://pixelixe.com/api-for-ai.html
- MCP setup guides: https://pixelixe.com/docs/help-center/mcp-connectors-setup.html
- Support: [email protected]
Official registry entry
- Name:
com.pixelixe/pixelixe-mcp - Endpoint:
https://studio.pixelixe.com/api/mcp/v1
Notes
This repository is the public metadata and documentation entry point for the hosted Pixelixe MCP server. The production runtime is operated by Pixelixe and is not distributed from this repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.