How to Use the Shotstack MCP in CrewAI

Q: How does Shotstack and CrewAI manage asset discovery?

The MCP Server provides listhostedassets and listingestedsources. These tools let the agents 'discover' all available materials needed for their collaborative task.

Q: Can Shotstack and CrewAI use templates in their workflow?

Yes. The team can first call listtemplates to see what video structure is available, or the agent can use createvideotemplate if a new format is required.

Q: Does the Shotstack MCP Server provide render history for CrewAI?

It does. The listrecentrenders tool gives a full audit trail of video creation efforts, helping the crew monitor their overall throughput.

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Discover Available Sources

The team needs data first. Agents can use `list_hosted_assets` to see all files on the server, or `list_ingested_sources` to check recently uploaded content. This gives the 'Researcher' agent a clear view of what materials are ready for analysis and video generation.

Execute Video Generation

The core action is running `render_video`, which returns a render ID. Once that job is initiated, the team can check its progress using `get_render_status`. This ensures that the 'Producer' agent waits for confirmation before declaring the task complete.

Review and Finalize Outputs

After rendering, use `list_assets_from_render` to find all files associated with the job ID. You can also review the entire history using `list_recent_renders`. This allows a 'Moderator' agent to confirm that every required output file is present and correct.

Setup guide

Set up Shotstack 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 Shotstack tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Shotstack 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 Shotstack. 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 Shotstack MCP in CrewAI

The MCP Server provides `list_hosted_assets` and `list_ingested_sources`. These tools let the agents 'discover' all available materials needed for their collaborative task.

Yes. The team can first call `list_templates` to see what video structure is available, or the agent can use `create_video_template` if a new format is required.

The server manages various media assets. It handles both ingested source materials and the final rendered videos, which can be confirmed using `list_assets_from_render`.

It does. The `list_recent_renders` tool gives a full audit trail of video creation efforts, helping the crew monitor their overall throughput.

This server touches media assets and video content. The team's operations require access to both source materials (ingested via `ingest_media_source`) and the resulting rendered videos.

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