How to Use the GridStatus MCP in CrewAI

Deploy a specialized crew of agents to monitor and analyze US grid markets with GridStatus.

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Connect GridStatus MCP to CrewAI

Create your Vinkius account to connect GridStatus 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 GridStatus with CrewAI

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Perplexity

Autonomous market analysis in CrewAI

Assign a research agent to pull data using `get_lmp_data` while a separate analyst agent interprets the trends. They work together to assess market conditions. This modular approach lets your crew handle complex tasks. One agent focuses on data gathering while the other makes decisions based on the output.

Regional grid oversight

Configure your agents to monitor different ISOs using `get_load_data`. Your crew can watch for demand surges across multiple regions simultaneously. It distributes the workload effectively. Each agent stays focused on its assigned region, providing a clearer picture of national energy demand.

Automated capacity reporting

Use `get_capacity_data` to feed your reporting agents the latest resource adequacy metrics. Your crew compiles these into actionable summaries automatically. This saves you hours of manual research. You get high-level insights into capacity markets without ever touching the raw API directly.

Setup guide

Set up GridStatus 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 GridStatus tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes. By adding the server URL to your agent configuration, your crew gains the ability to execute any of the 12 tools. They then decide when to query the grid data based on their assigned goals.

You can use a tool filter in your agent setup. This restricts the crew to only the specific tools you want them to access, like `get_realtime_lmp`.

It does. You assign specific data-gathering roles to different agents in your crew. One agent handles fuel mix, while another manages load data, mirroring real-world analyst teams.

Yes. You can include a monitor agent whose only job is to call `get_api_usage`. This agent alerts you if your team is approaching their query quota.

The server only provides public wholesale market and grid health data. No sensitive information or user credentials from your environment are exposed to the grid API.

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