How to Use the Dopplio MCP in CrewAI

Q: How do I add the Dopplio MCP Server to my CrewAI agents?

Pass the server URL directly in your Agent's mcps list argument during initialization. For more control, use MCPServerHTTP from the crewai.mcp library to filter which agents have access to specific tools.

Q: Can one CrewAI agent generate a Dopplio video while another creates a PDF?

Yes, you can assign generatevideo to your video specialist agent and renderpdf to your document specialist agent. They will execute these tasks in parallel or sequentially based on your crew's design.

Q: How do my CrewAI agents verify that a Dopplio video was successfully generated?

The agent calls getrenderstatus with the job ID. If it returns a success state, the agent uses getvideodetails to retrieve the final MP4 link and passes it to the next agent in the chain.

Run autonomous multi-agent teams to build and distribute personalized videos using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dopplio MCP to CrewAI

Create your Vinkius account to connect Dopplio to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Dopplio with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Assign video generation tasks to specialized CrewAI agents.

The `generate_video` tool gives your specialized production agent access to the MCP Server to render customized video clips autonomously. While your researcher agent gathers lead data, your video agent takes that data and triggers the render. This division of labor keeps your operations clean. The video agent focuses purely on template parameters and tracking renders, while other crew members handle copywriting or lead qualification.

Research websites and capture visual screenshots.

The `capture_screenshot` tool allows your researcher agent to take visual snapshots of prospect websites. The agent can analyze the layout or pass the image link to other crew members to personalize the outreach context. Your crew uses this tool to verify that a prospect's site is active before generating a video. This prevents you from wasting render credits on dead URLs or broken landing pages.

Track rendering pipelines across agent handoffs.

The `get_render_status` tool lets your monitoring agent track active video jobs over the MCP link. Once the video is complete, the monitoring agent passes the final asset details to your outreach agent. This sequential execution ensures that emails are never sent with broken or incomplete video links. The outreach agent only gets the signal to send once `get_video_details` confirms the file is ready.

Setup guide

Set up Dopplio MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Dopplio tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dopplio Analyst",
    goal="Access and analyze Dopplio data via MCP.",
    backstory="Expert analyst with direct Dopplio access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Dopplio transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Dopplio Analyst",
        goal="Access and analyze Dopplio data via MCP.",
        backstory="Expert analyst with direct Dopplio access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dopplio transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dopplio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dopplio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dopplio MCP in CrewAI

Pass the server URL directly in your Agent's `mcps` list argument during initialization. For more control, use `MCPServerHTTP` from the `crewai.mcp` library to filter which agents have access to specific tools.

Yes, you can assign `generate_video` to your video specialist agent and `render_pdf` to your document specialist agent. They will execute these tasks in parallel or sequentially based on your crew's design.

The agent calls `get_render_status` with the job ID. If it returns a success state, the agent uses `get_video_details` to retrieve the final MP4 link and passes it to the next agent in the chain.

Yes, you can use a tool filter when setting up the MCP connection. This lets you expose only `list_videos` to your reporting agent while keeping generation tools restricted to production agents.

All video metadata and source templates are handled within secure, ephemeral V8 containers. Your generated MP4 files and lead lists are never exposed to external models or used for training purposes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript