How to Use the Greenspark MCP in CrewAI

Deploy specialized climate agents using CrewAI. Coordinate multi-agent teams to manage carbon impacts and project research.

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Connect Greenspark MCP to CrewAI

Create your Vinkius account to connect Greenspark 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 Greenspark with CrewAI

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Multi-agent climate research with CrewAI

Assign a researcher agent to use `list_projects` and `get_project` to evaluate environmental initiatives. This agent gathers data for the rest of your crew to act on. By separating research from action, you keep your agents efficient. One agent finds the best project, while another uses `create_impact` to execute the contribution.

Manage impact history with CrewAI

Let your analysis agent use `list_impacts` to audit your organization's environmental performance. It can summarize findings and report back to your primary coordinator. This creates an autonomous feedback loop. Your crew monitors the account status and adjusts their behavior based on the aggregated data provided by the server.

Coordinate badge updates via CrewAI

Use `list_badges` to allow your design-focused agent to select the right assets for your reports. It fetches the metadata and updates your customer-facing dashboards. Your crew handles the boring maintenance tasks. You define the roles, and the agents use these tools to keep your environmental branding current.

Setup guide

Set up Greenspark 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 Greenspark tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to the agent's MCP list. Once connected, your specialized agents share access to the available climate tools.

Yes, the server supports concurrent access. Each agent in your crew can call different tools based on its assigned role.

Access is scoped by your tool filters. You decide which agent gets to call sensitive tools like impact creation.

The server requires your endpoint token. You provide this during the initial agent setup to secure the connection.

The agent can read your impact history and project details. All access is governed by the permissions you set in the server configuration.

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