3,400+ servers built on vurb.ts
Vinkius

Bring Generative Ai
to CrewAI

Learn how to connect GAN.ai to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Generate Personalized VideosGenerate Single VideoGet Generation StatusGet Project MetadataGet Video MetadataGet Video StatsGet Workspace InfoList Configured WebhooksList Generated VideosList Landing TemplatesList Video ProjectsVerify Api Connection
GAN.ai

What is the 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.

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.

How it works

1. Subscribe to this server through the Vinkius Marketplace
2. Enter your GAN Workspace ID and API Token (found in your Settings)
3. Start managing your personalized video generation from Claude, Cursor, or any MCP client

Who is this for?

  • Growth Marketers — quickly trigger personalized video campaigns for new leads without manual dashboard uploads.
  • Sales Development Reps (SDRs) — get a real-time status of custom videos for prospects via simple AI commands.
  • Content Operations — automate the retrieval of video metadata and analytics for reporting.

Built-in capabilities (12)

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

Why CrewAI?

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.

  • 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

See it in action

GAN.ai in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

GAN.ai and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect GAN.ai to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for GAN.ai in CrewAI

The GAN.ai 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

GAN.ai
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
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

The Vinkius Advantage

How Vinkius secures GAN.ai for CrewAI

Every tool call from CrewAI to the GAN.ai MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

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.

08

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.

09

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.

10

MCP tools not discovered

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

11

Agent not using tools

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

12

Timeout errors

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

13

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.