Can my agent generate SVG vector files using Adobe Firefly?

Yes. Use the 'text_to_vector' tool. Provide a descriptive prompt, and the agent will command the Firefly engine to produce editable SVG vector graphics natively, which are perfect for use in Adobe Illustrator.

How do I perform generative fill on an image via chat?

First, use 'upload_image' to get an 'image_id'. Then, use the 'generative_fill' tool by providing the image ID, a mask ID (for the area to fill), and your prompt. The agent will execute the AI fill synchronously.

Can I remove the background of an image through the agent?

Absolutely. Use the 'remove_background' tool. After uploading your source image and retrieving its ID, the agent will command Firefly to process the file and return a transparent PNG body synchronously.

Adobe Firefly MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Adobe Firefly
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Adobe Firefly and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "adobe-firefly": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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DLPData protection

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<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

About Adobe Firefly MCP Server

Connect your Adobe Firefly developer account to any AI agent and take full control of your commercially safe generative AI image and vector creation through natural conversation.

GitHub Copilot Agent mode brings Adobe Firefly data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Text-to-Image Orchestration — Generate photorealistic or stylized images from text prompts utilizing Firefly's elite model 5 for high-fidelity output natively
Generative Fill & Expand — Fill masked areas or expand images beyond their borders by commanding absolute explicit text payloads to generate surrounding context flawlessly
Text-to-Vector Synthesis — Produce editable SVG vector graphics from descriptive prompts, bringing Adobe Illustrator-grade assets to your AI agent loops
Intelligent Image Editing — Upload source images to perform background removals, generate similar variations, or create object composites synchronously
Text Effects & Art — Transform plain textual strings into stylized visual art by applying AI-generated textures and effects according to style prompts
Asset Storage & Management — Manage uploaded image binaries and retrieve unique IDs to orchestrate complex multi-step generative operations securely
Model Discovery — Enumerate available Firefly models and versions to evaluate capabilities and determine precise active inference boundaries natively

The Adobe Firefly MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adobe Firefly to VS Code Copilot via MCP

Follow these steps to integrate the Adobe Firefly MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Adobe Firefly

Ask Copilot: "Using Adobe Firefly, help me...". 10 tools available

Why Use VS Code Copilot with the Adobe Firefly MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Adobe Firefly through the Model Context Protocol.

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

Adobe Firefly + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Adobe Firefly MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Adobe Firefly MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Adobe Firefly to VS Code Copilot via MCP:

generate_object

Instructions: Pass descriptive prompt. Generate an object composite image using Adobe Firefly

generate_similar

Instructions: Upload reference first, pass image_id and prompt. Generate images similar to a reference using Adobe Firefly

generative_expand

Instructions: Pass image_id, target width/height. Expand an image beyond its borders using Adobe Firefly

generative_fill

Instructions: Upload image first, get image_id and mask_id. Fill masked areas of an image using Adobe Firefly Generative Fill

list_models

List available Firefly models

remove_background

Instructions: Upload image first, pass image_id. Remove the background from an image using Adobe Firefly

text_effects

Instructions: Pass the text and a style prompt. Apply AI text effects using Adobe Firefly

text_to_image

Model 5 offers photorealistic output. Instructions: Pass prompt and count (1-4). Generate images from a text prompt using Adobe Firefly

text_to_vector

Instructions: Pass a descriptive prompt. Generate SVG vectors from a text prompt using Adobe Firefly

upload_image

Returns image ID. Instructions: Pass a publicly accessible URL. Upload an image to Adobe Firefly storage

Example Prompts for Adobe Firefly in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Adobe Firefly immediately.

"Generate a photorealistic image of a futuristic workspace with large windows"

"Create an SVG vector of a minimal mountain landscape"

"Remove the background from image 'img_789'"

Troubleshooting Adobe Firefly MCP Server with VS Code Copilot

Common issues when connecting Adobe Firefly to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

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

Adobe Firefly + VS Code Copilot FAQ

Common questions about integrating Adobe Firefly MCP Server with VS Code Copilot.

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.

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.

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.

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.