How to Use the Grid MCP in CrewAI

Build autonomous operational crews using Grid and CrewAI.

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Connect Grid MCP to CrewAI

Create your Vinkius account to connect Grid 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 Grid with CrewAI

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Perplexity

CrewAI multi-agent coordination

Assign one agent to analyze records via `list_worksheet_records` while another agent prepares updates. The agents share context and memory. This allows your crew to handle entire business processes without manual intervention.

Automate record updates for CrewAI

Your agents can execute `create_new_operational_record` based on research gathered from other tools. This is ideal for report generation. Your crew works through the queue and populates your spreadsheets automatically.

Monitor Grid health with CrewAI

Set a dedicated monitor agent to run `check_api_health` on a loop. If the connection drops, the moderator agent can pause the crew. It prevents data loss during service outages.

Setup guide

Set up Grid 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 Grid tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Grid 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 Grid. 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

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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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 Grid MCP in CrewAI

Pass the server URL to your agent configuration. You can also filter specific tools if you want to limit what an agent can do.

Yes. Use the shared memory feature in your crew. This allows agents to pass findings from one step to the next.

It is. You can assign different tools to manager and worker agents. This creates a clear hierarchy for your operational tasks.

Enable verbose logging in your agent settings. You will see every input and output for every tool call in your terminal.

We use a zero-trust architecture. Your records are only accessible to agents with the appropriate roles and are never cached by the server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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