How to Use the Tolstoy MCP in CrewAI

Q: How do I check my video assets for Tolstoy using CrewAI?

You pass the listvideos tool to your crew. This allows an agent to generate a current inventory of all available shoppable videos, keeping your operations running smoothly.

Q: Can I list all available shoppable funnels for Tolstoy using CrewAI?

Yes, use listinteractiveprojects. This tool gives a clear view of every active video funnel on the site. It's essential for planning multi-agent campaigns.

Q: Does the MCP Server support viewing analytics for Tolstoy with CrewAI?

It does. The getvideoanalytics tool feeds performance metrics directly to your analysis agent, allowing it to report on sales funnel success rates automatically.

Q: How do I manage video folders with Tolstoy using CrewAI?

The crew uses listfolders to get a complete directory structure of all assets. This helps the system keep track of where every piece of shoppable content lives.

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Connect Tolstoy MCP to CrewAI

Create your Vinkius account to connect Tolstoy 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.

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Setup Tolstoy with CrewAI

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Upload Video Funnel Content

The `upload_video` tool allows a specialized agent to ingest new media into Tolstoy. This means the shoppable funnel content is ready for deployment without manual steps. After uploading, another agent can confirm availability by calling `list_videos`, validating the asset.

Monitor Shoppable Funnel Progress

The crew uses `get_video_analytics` to constantly monitor video performance metrics. This capability allows a dedicated analysis agent to report on funnel effectiveness. It also lets agents use `list_interactive_projects`, keeping track of every shoppable path in the e-commerce system.

Map and List Video Assets

To organize work, a research agent can run `list_folders` to map out all video assets. Meanwhile, another tool, `list_videos`, provides a clean inventory of every single file. Furthermore, the crew uses `list_webhooks` to track and confirm necessary external triggers for any new funnel.

Setup guide

Set up Tolstoy 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 Tolstoy tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Tolstoy 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="Tolstoy Analyst",
        goal="Access and analyze Tolstoy data via MCP.",
        backstory="Expert analyst with direct Tolstoy access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Tolstoy 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 Tolstoy. 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.

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Common questions about Tolstoy MCP in CrewAI

You pass the `list_videos` tool to your crew. This allows an agent to generate a current inventory of all available shoppable videos, keeping your operations running smoothly.

The server manages webhook configuration metadata and endpoint tokens. The crew uses `list_webhooks` to confirm the status of these external triggers for your funnels.

Yes, use `list_interactive_projects`. This tool gives a clear view of every active video funnel on the site. It's essential for planning multi-agent campaigns.

It does. The `get_video_analytics` tool feeds performance metrics directly to your analysis agent, allowing it to report on sales funnel success rates automatically.

The crew uses `list_folders` to get a complete directory structure of all assets. This helps the system keep track of where every piece of shoppable content lives.

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