GAN.ai MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"ganai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 GAN.ai MCP Server
Connect your GAN.ai account to any AI agent to automate your personalized video marketing and sales outreach through the Model Context Protocol (MCP). GAN.ai is a leading generative AI platform that enables brands to create thousands of unique videos with custom names, locations, and details. This MCP server enables you to trigger video generation, monitor real-time processing status, and retrieve landing page links directly through natural conversation.
GitHub Copilot Agent mode brings GAN.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
Key Features
- Personalized Video Generation — Trigger bulk video generation based on project templates and dynamic tags (e.g., first name, company).
- Real-time Status Monitoring — Track the asynchronous processing of your video requests and retrieve final MP4 and landing page URLs.
- Project Oversight — List all video templates/projects and fetch detailed variable definitions for personalization.
- Campaign Discovery — Access your history of generated videos and monitor their status (pending, processing, completed).
- Landing Page Integration — Retrieve branded landing page permalinks for each generated video to fuel your outreach sequences.
- Engagement Analytics — Fetch view counts and engagement metrics for specific videos to measure campaign success.
- Webhook Visibility — List configured webhooks to ensure your systems are receiving real-time generation notifications.
- Real-time Synchronization — Keep your generative video strategy accessible to your AI assistant without leaving your primary workspace.
The GAN.ai MCP Server exposes 12 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 GAN.ai to VS Code Copilot via MCP
Follow these steps to integrate the GAN.ai 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 GAN.ai
Ask Copilot: "Using GAN.ai, help me...". 12 tools available
Why Use VS Code Copilot with the GAN.ai MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with GAN.ai 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
GAN.ai + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the GAN.ai 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
GAN.ai MCP Tools for VS Code Copilot (12)
These 12 tools become available when you connect GAN.ai to VS Code Copilot via MCP:
generate_personalized_videos
Generate videos in bulk
generate_single_video
Generate one video
get_generation_status
Check video status
get_project_metadata
Get template schema
get_video_metadata
Get video details
get_video_stats
Get engagement stats
get_workspace_info
ai workspace. Get workspace details
list_configured_webhooks
List active webhooks
list_generated_videos
List video history
list_landing_templates
List landing pages
list_video_projects
List video templates
verify_api_connection
ai API connectivity. Verify API access
Example Prompts for GAN.ai in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with GAN.ai immediately.
"List all my available video projects in GAN.ai."
"Generate a personalized video for 'John Doe' (johndoe@email.com) using project 'proj_123'."
"Check the status of video generation 'inf_abc789'."
Troubleshooting GAN.ai MCP Server with VS Code Copilot
Common issues when connecting GAN.ai to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
GAN.ai + VS Code Copilot FAQ
Common questions about integrating GAN.ai MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.Connect GAN.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GAN.ai to VS Code Copilot
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.