How to Use the Uploadcare MCP in CrewAI

Q: How can CrewAI use Uploadcare to check asset metadata?

Agents call getfiledetails. This tool pulls technical metadata for any file, allowing the team to verify formats or sizes before taking action. The data is instantly available for analysis.

Q: Can I list and monitor all files in Uploadcare using CrewAI?

Yes, use listfiles. This tool supports pagination, meaning your autonomous operation can pull a complete manifest of every file without hitting limits. The data streams to the crew's shared memory.

Q: When I need to delete files in Uploadcare with CrewAI, which tools do I use?

You have deletefile for single, irreversible removal, or batchdeletefiles for wiping out groups of files at once. The choice depends on how many assets the crew needs to manage.

Q: Is there a way to track temporary files in Uploadcare using CrewAI?

You can use batchstorefiles or storefile. This marks assets as permanently stored, ensuring that even if they were originally temporary, they are now available for the crew to work with.

Run autonomous media operations with CrewAI and Uploadcare file management.

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Connect Uploadcare MCP to CrewAI

Create your Vinkius account to connect Uploadcare 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 Uploadcare with CrewAI

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Automating Media Asset Retrieval

Give your crew the ability to inspect assets using `get_file_details`. One agent can pull technical metadata, while another uses that data to decide if a copy is needed. It's all part of one autonomous operation. To get an overview, use `list_files` which provides paginated access to every file in your project.

Structured Media Organization via MCP Server

If the team needs to know how assets are grouped, they run `list_file_groups`. This shows all immutable collections. Then, they can use `get_group_details` to inspect what's inside a specific group. This lets your crew build complex responses based on organized data, not just random files.

Project Auditing and Status Checks

For monitoring purposes, an agent can use `get_project_info` to pull project-level metadata and usage statistics. This is great for reporting. Want to know about file groups? `list_file_groups` gives the initial roster of collections your crew needs to examine.

Setup guide

Set up Uploadcare 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 Uploadcare tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Agents call `get_file_details`. This tool pulls technical metadata for any file, allowing the team to verify formats or sizes before taking action. The data is instantly available for analysis.

Yes, use `list_files`. This tool supports pagination, meaning your autonomous operation can pull a complete manifest of every file without hitting limits. The data streams to the crew's shared memory.

You have `delete_file` for single, irreversible removal, or `batch_delete_files` for wiping out groups of files at once. The choice depends on how many assets the crew needs to manage.

The server manages project usage statistics, file metadata, and group details. It gives your autonomous operations full visibility into the state of your media infrastructure.

You can use `batch_store_files` or `store_file`. This marks assets as permanently stored, ensuring that even if they were originally temporary, they are now available for the crew to work with.

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