How to Use the GRIN MCP in CrewAI

Q: Can a CrewAI team manage my GRIN campaigns?

Yes. You can define a research agent to use listcampaigns and a manager agent to use updatecontact, allowing them to collaborate on campaign updates.

Q: Does CrewAI support selective tool exposure for GRIN?

You can use the toolfilter option to limit which GRIN tools are available to each agent. This ensures your research agents cannot perform actions like updating payments.

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Connect GRIN MCP to CrewAI

Create your Vinkius account to connect GRIN 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 GRIN with CrewAI

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Autonomous creator analysis with CrewAI

Assign a crew to scan creator performance and content. One agent uses `list_content` to find high-performing posts, while another uses `list_conversions` to calculate the actual ROI for your campaigns. They share this information in a common memory space. This allows your team to see a full breakdown of campaign success without you manually digging through dashboards.

Monitor creator activity with CrewAI

Set up a specialized agent to track participation and engagement. By calling `list_activations` on a schedule, your crew flags creators who aren't meeting their posting requirements. The system acts on these findings automatically. It can draft a follow-up message or update the creator status in your system using `update_contact`.

Coordinate multi-agent GRIN operations in CrewAI

Execute complex sequences involving campaign updates and relationship management. You combine `get_campaign` and `list_partnerships` to give your agents the context they need to make informed decisions. Your crew works in a loop, ensuring that every campaign stays active and every partnership is accounted for. You control the strategy, and the crew handles the operational execution.

Setup guide

Set up GRIN 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 GRIN tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly into the agent definition. CrewAI automatically discovers the tools, allowing you to assign them to specific agents based on their role.

Yes. You can define a research agent to use `list_campaigns` and a manager agent to use `update_contact`, allowing them to collaborate on campaign updates.

You can use the tool_filter option to limit which GRIN tools are available to each agent. This ensures your research agents cannot perform actions like updating payments.

CrewAI provides logs for every tool call. You see exactly when an agent calls `list_conversions` and what data it returned, giving you full visibility.

Your creator contact information and performance history are never stored by the server. They are only fetched into the agent's memory during the specific execution of a tool.

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