How do I create a replica?

Replicas currently must be initiated via the Tavus Dashboard or their specific training endpoints which require a source video. This agent allows you to manage and use existing replicas.

How long does video generation take?

Personalized video generation typically takes a few minutes depending on the length of the script. You can use the `get_video_details` tool to check if the status is 'completed'.

Tavus Video Replicas MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Tavus Video Replicas
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Tavus Video Replicas through Vinkius, pass the Edge URL in the `mcps` parameter and every Tavus Video Replicas 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="Tavus Video Replicas Specialist",
    goal="Help users interact with Tavus Video Replicas effectively",
    backstory=(
        "You are an expert at leveraging Tavus Video Replicas 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 Tavus Video Replicas "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

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

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About Tavus Video Replicas MCP Server

Connect your AI agent to Tavus, the leading platform for automated personalized video generation. This integration allows you to leverage AI replicas to create high-quality, talking-head videos for sales, marketing, and customer success directly from your conversation.

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

What you can do

Replica Management — List and inspect your trained AI video replicas
Video Generation — Create new videos by providing a script and selecting a replica
Status Tracking — Monitor the progress of video generation tasks in real-time
Content Library — Access a list of all your generated videos and their download links
Resource Cleanup — Permanently delete replicas or videos no longer needed

The Tavus Video Replicas MCP Server exposes 7 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 Tavus Video Replicas to CrewAI via MCP

Follow these steps to integrate the Tavus Video Replicas 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 7 tools from Tavus Video Replicas

Why Use CrewAI with the Tavus Video Replicas MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tavus Video Replicas 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

Tavus Video Replicas + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Tavus Video Replicas MCP Server delivers measurable value.

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

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

Tavus Video Replicas MCP Tools for CrewAI (7)

These 7 tools become available when you connect Tavus Video Replicas to CrewAI via MCP:

delete_replica

Permanently delete a specific replica

delete_video

Permanently delete a specific generated video

generate_replica_video

Generate a new AI video using a specific replica

get_replica_details

Get comprehensive details for a specific replica

get_video_details

Get detailed information for a specific generated video

list_generated_videos

Retrieve a list of all generated videos

list_replicas

Retrieve a list of all your AI video replicas

Example Prompts for Tavus Video Replicas in CrewAI

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

"List my Tavus replicas."

"Generate a video with replica 'rep_123' saying 'Hello, welcome to our platform!'."

Troubleshooting Tavus Video Replicas MCP Server with CrewAI

Common issues when connecting Tavus Video Replicas 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.

Tavus Video Replicas + CrewAI FAQ

Common questions about integrating Tavus Video Replicas 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.