How to Use the Cloverly MCP in CrewAI

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

Pass the Vinkius MCP endpoint URL directly into the mcps parameter when defining your CrewAI agents. The framework automatically discovers and registers all 12 carbon tools.

Q: Can I restrict which CrewAI agents can purchase offsets via Cloverly?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter to expose createpurchase only to your designated procurement agent.

Q: How do CrewAI agents share Cloverly estimate data?

Agents use CrewAI's shared memory to pass the results of createestimate from the logistics agent to the buyer agent.

Deploy specialized agent teams to calculate and purchase carbon offsets using CrewAI.

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Connect Cloverly MCP to CrewAI

Create your Vinkius account to connect Cloverly 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 Cloverly with CrewAI

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Run Cloverly MCP Server in CrewAI Teams

`create_estimate` allows your logistics agent to calculate shipping emissions while an accounting agent prepares the budget. You pass the Cloverly MCP Server URL in the `mcps` list to give your entire crew instant access to carbon data. CrewAI's shared memory lets the accounting agent read the estimate generated by the logistics agent. They collaborate autonomously to match shipping footprints with real-world credit costs without writing custom integration code.

Autonomous Offset Procurement and Verification

`create_purchase` is executed by a specialized buyer agent once the moderator agent approves the calculated footprint. You can use `MCPServerHTTP` to limit tool access, ensuring only the buyer agent can spend funds. After the purchase completes, a verification agent runs `get_purchase` to get transaction details and archive the receipt. This sequential execution ensures your environmental ledger remains accurate and fully audited.

Automated Sustainability Monitoring

`get_impact_summary` runs on a daily schedule managed by a monitor agent to track your team's total offset metrics. If the numbers look off, the monitor agent alerts the crew to investigate. If the carbon metrics exceed your monthly budget, the monitor agent triggers an escalation task for the procurement crew. The crew queries `list_purchases` to cross-reference recent transactions against your internal shipping database.

Setup guide

Set up Cloverly 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 Cloverly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius MCP endpoint URL directly into the `mcps` parameter when defining your CrewAI agents. The framework automatically discovers and registers all 12 carbon tools.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter` to expose `create_purchase` only to your designated procurement agent.

Agents use CrewAI's shared memory to pass the results of `create_estimate` from the logistics agent to the buyer agent.

This MCP Server supports stdio, SSE, and Streamable HTTP transports, allowing your python-based CrewAI team to connect reliably.

Your logistical payloads are protected by our zero-trust ephemeral architecture. Every connection runs in a dedicated sandbox that gets destroyed immediately after execution.

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