How to Use the CoreWeave (AI GPU Cloud) MCP in CrewAI

Deploy specialized agent crews to manage CoreWeave (AI GPU Cloud) infrastructure at scale with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CoreWeave (AI GPU Cloud) MCP to CrewAI

Create your Vinkius account to connect CoreWeave (AI GPU Cloud) 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 CoreWeave (AI GPU Cloud) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized GPU management in CrewAI

Assign one agent to monitor metrics with `query_metrics` while another agent handles `create_deployment`. This keeps your concerns separated and your operations focused. You create a crew where each member has a clear role. One agent tracks performance, another manages your VPC lifecycle.

Autonomous infrastructure scaling in CrewAI

Let your crew identify bottlenecks using `list_capacity_claims`. Once identified, the agent acts by invoking `update_capacity_claim` to ensure your inference workloads stay online. You build an autonomous loop that adjusts capacity based on real-world usage. The crew works in the background without needing your input.

Hierarchical infrastructure control in CrewAI

Set up a manager agent to approve actions taken by junior agents. Your junior agent proposes a `delete_gateway` change, and the manager validates it against your policies. This structure adds a layer of safety to your automated operations. You define the rules, and the crew enforces them across your infrastructure.

Setup guide

Set up CoreWeave (AI GPU Cloud) 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 CoreWeave (AI GPU Cloud) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent CoreWeave (AI GPU Cloud) 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 CoreWeave. 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 CoreWeave (AI GPU Cloud) 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 CoreWeave (AI GPU Cloud) MCP in CrewAI

Yes, you can assign tools to specific agents. One agent manages clusters while another handles networking.

They share memory, so your research agent can pass cluster IDs to your management agent. This makes coordination between tools straightforward.

It supports standard SSE and HTTP. You just pass the server URL to your agent definition to get started.

You use tool filters to limit which agents see which capabilities. Your research agent might only see list tools, while your admin agent has write access.

The agents only process your infrastructure state and telemetry. Your private keys and account access tokens remain encrypted and isolated from the agent memory.

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