How to Use the Corrently Regional Green Index MCP in CrewAI

Q: How do I pass the Corrently Regional Green Index to a CrewAI agent?

You can pass the server URL directly in the agent's mcps parameter during initialization. This instantly grants that specific agent access to getregionalgreenindex.

Q: Does CrewAI support selective tool exposure for Corrently Regional Green Index?

Yes, you can use MCPServerHTTP with a toolfilter to restrict tools. For example, you can let your scheduler check the green index while blocking market pricing access.

Build multi-agent teams in CrewAI that schedule operations around clean grid forecasts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Corrently Regional Green Index MCP to CrewAI

Create your Vinkius account to connect Corrently Regional Green Index 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 Corrently Regional Green Index with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate multi-agent energy audits with this MCP Server

CrewAI shines when specialized agents work together. You can assign a Researcher agent to fetch market rates via `get_energy_market_data` while an Analyst agent calculates the optimal operational window. Because they share memory, the Analyst instantly knows the pricing context retrieved by the Researcher. This keeps your entire multi-agent team synchronized on real-time grid conditions.

Automate regional green scheduling across agent roles

Let your agents autonomously manage regional workloads based on grid cleanliness. A scheduler agent can run `get_regional_green_index` for multiple ZIP codes to find the cleanest server region. Once the cleanest ZIP code is identified, the scheduler agent passes that location to a deployment agent. The entire process runs sequentially without requiring manual human handoffs.

Build a dedicated energy moderator agent in CrewAI

Keep your autonomous teams operating within budget and green targets. You can deploy a moderator agent that continuously checks the outputs of other agents against `get_energy_market_data` values. If another agent tries to spin up a compute cluster during a high-tariff, high-carbon window, the moderator agent blocks the task. This ensures your autonomous operations match your environmental policies.

Setup guide

Set up Corrently Regional Green Index 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 Corrently Regional Green Index tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Corrently Regional Green Index 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 Corrently. 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 Corrently Regional Green Index 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 Corrently Regional Green Index MCP in CrewAI

You can pass the server URL directly in the agent's `mcps` parameter during initialization. This instantly grants that specific agent access to `get_regional_green_index`.

Yes, they can. Agents share the MCP Server connection, allowing the researcher to check rates with `get_energy_market_data` while the planner schedules tasks.

Yes, you can use `MCPServerHTTP` with a `tool_filter` to restrict tools. For example, you can let your scheduler check the green index while blocking market pricing access.

CrewAI supports stdio, SSE, and HTTP transports natively. Vinkius exposes a secure HTTP endpoint, which CrewAI handles out of the box without extra coding.

It does not. The server only uses the ZIP code to fetch the matching regional grid data, and Vinkius's ephemeral MCP sandbox ensures no query logs are retained.

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