How do I get an Elai.io API Key?

Log in to your Elai.io account, navigate to **Account Settings** → **API**, and you can generate or retrieve your unique API Key from there. API access may require a specific plan.

Can the agent render videos automatically?

Yes, you can use the trigger_video_rendering tool to start the rendering process for any existing video project directly via the agent.

Does the integration show final video URLs?

Yes, once a video has finished rendering (status: ready), the agent can retrieve the final output URL through the get_video_details tool.

Elai AI Video MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Elai AI Video
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Elai AI Video Specialist",
    goal="Help users interact with Elai AI Video effectively",
    backstory=(
        "You are an expert at leveraging Elai AI Video 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 Elai AI Video "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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 Elai AI Video MCP Server

Integrate Elai.io, the leading AI video generation platform, directly into your AI workflow. Manage your video projects and rendering statuses, track available AI avatars and voices, monitor templates and languages, and oversee your video production using natural language.

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

What you can do

Video Oversight — List and retrieve detailed information and status for all your AI video projects and renders.
Avatar Intelligence — Access the avatar registry to monitor available AI presenters, their unique identifiers, and preview thumbnails.
Content Management — Monitor video templates, supported languages, and high-quality AI voices for automated narration.
Production Auditing — Retrieve high-level summaries of rendering progress, remaining account minutes, and organizational metadata instantly.

The Elai AI Video MCP Server exposes 10 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 Elai AI Video to CrewAI via MCP

Follow these steps to integrate the Elai AI Video 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 10 tools from Elai AI Video

Why Use CrewAI with the Elai AI Video MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Elai AI Video 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 the 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

Elai AI Video + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Elai AI Video MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Elai AI Video 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 Elai AI Video, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Elai AI Video 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 Elai AI Video against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Elai AI Video MCP Tools for CrewAI (10)

These 10 tools become available when you connect Elai AI Video to CrewAI via MCP:

create_new_ai_video

Create a new AI video from a template or text script

get_elai_account_metadata

Retrieve metadata and credit balance for your Elai account

get_video_details

Get detailed settings and rendering status for a specific video

list_ai_videos

List all AI videos created in your Elai account

list_available_avatars

List all AI avatars available for video generation

list_available_voices

List all AI voices and languages supported for video narration

list_latest_video_projects

Identify the most recently created or updated video projects

list_successfully_rendered_videos

Identify videos that have finished rendering and are ready for download

list_video_templates

List all video templates available in your account

trigger_video_rendering

Start the rendering process for a specific video project

Example Prompts for Elai AI Video in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Elai AI Video immediately.

"List all my AI video projects."

"Show me the available AI avatars."

"Check the status of video 'VID-12345'."

Troubleshooting Elai AI Video MCP Server with CrewAI

Common issues when connecting Elai AI Video 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

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

Elai AI Video + CrewAI FAQ

Common questions about integrating Elai AI Video 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.