How do I find my Workspace ID and API Token?

Log in to GAN.ai, go to Settings, and navigate to the API section to find your Workspace ID and generate a Bearer Token.

What is an 'Inference ID'?

An Inference ID is a unique tracking number returned when you trigger a video generation. You use it with the 'get_generation_status' tool to check if the video is ready.

Are personalized landing pages included in the API response?

Yes! Once a video is completed, the agent retrieves the 'permalink', which is a non-expiring link to the personalized landing page hosting the video.

Can I monitor video view analytics via the agent?

Yes, the 'get_video_stats' tool allows you to retrieve real-time engagement data, such as view counts and playback metrics, for any generated video.

GAN.ai MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: GAN.ai
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GAN.ai through Vinkius, pass the Edge URL in the `mcps` parameter and every GAN.ai tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GAN.ai Specialist",
    goal="Help users interact with GAN.ai effectively",
    backstory=(
        "You are an expert at leveraging GAN.ai tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in GAN.ai "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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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

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.

When paired with CrewAI, GAN.ai becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GAN.ai tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the GAN.ai MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from GAN.ai

Why Use CrewAI with the GAN.ai MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GAN.ai through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

GAN.ai + CrewAI Use Cases

Practical scenarios where CrewAI combined with the GAN.ai MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries GAN.ai for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries GAN.ai, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GAN.ai tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries GAN.ai against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

GAN.ai MCP Tools for CrewAI (12)

These 12 tools become available when you connect GAN.ai to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting GAN.ai to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

GAN.ai + CrewAI FAQ

Common questions about integrating GAN.ai MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.