How to Use the GaggleAMP MCP in CrewAI

Q: How do I add the GaggleAMP MCP Server to my CrewAI agents?

You pass your Vinkius HTTP URL directly into the mcps parameter of your CrewAI Agent definition. This immediately gives your crew access to tools like listgagglemembers.

Q: Can a CrewAI agent monitor GaggleAMP engagement stats?

Yes. You can assign an analyst agent to use getactivityengagement to gather performance data and write weekly summary reports for your marketing team.

Q: How do CrewAI agents handle reward redemptions on GaggleAMP?

A specialized reward agent uses listrewardhistory to track what has been claimed, then uses redeemrewarditem to process pending claims autonomously.

Q: Can I limit which tools my agents can access?

Yes. You can use the MCPServerHTTP class with a toolfilter to expose only specific tools, like listactivities, while keeping administrative tools restricted.

Q: How is our employee contact and invite data protected?

All invitation data sent via invitenewadvocate is transmitted over encrypted channels directly to the API. Vinkius runs the server in an ephemeral sandbox, meaning no personal contact details or email addresses are ever logged or stored on our infrastructure.

Deploy a collaborative crew of specialized agents to coordinate and reward your GaggleAMP advocates automatically with CrewAI.

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Connect GaggleAMP MCP to CrewAI

Create your Vinkius account to connect GaggleAMP 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 GaggleAMP with CrewAI

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Run a multi-agent social advocacy team using CrewAI

The `create_activity` tool allows your content creation agent to draft and publish social tasks for your employees over MCP. A separate moderator agent can then use `list_activities` to review the queue and ensure everything matches your brand guidelines. This collaborative setup means your writers focus on drafting while your compliance agents focus on rules. The crew coordinates these actions autonomously, passing data between tools without requiring human intervention.

Monitor and reward top advocates autonomously

The `get_top_advocates` tool lets your analyst agent identify the employees driving the most reach. Once identified, a reward agent uses `redeem_reward_item` to automatically process a prize for the week's top performer. By connecting this MCP Server to CrewAI, you create an autonomous feedback loop. The agents track the points using `get_member_points`, look up available rewards with `list_available_rewards`, and handle the logistics of keeping your team motivated.

Automate employee onboarding and group management

The `invite_new_advocate` tool allows your operations agent to add new team members to your advocacy groups. The agent coordinates with other crew members to ensure new hires are placed in the correct segments. Your agent uses `list_all_gaggles` to find the right group, then invites the employee. This ensures your advocacy cohorts are always up to date as your company scales.

Setup guide

Set up GaggleAMP 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 GaggleAMP tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass your Vinkius HTTP URL directly into the `mcps` parameter of your CrewAI Agent definition. This immediately gives your crew access to tools like `list_gaggle_members`.

Yes. You can assign an analyst agent to use `get_activity_engagement` to gather performance data and write weekly summary reports for your marketing team.

A specialized reward agent uses `list_reward_history` to track what has been claimed, then uses `redeem_reward_item` to process pending claims autonomously.

Yes. You can use the `MCPServerHTTP` class with a `tool_filter` to expose only specific tools, like `list_activities`, while keeping administrative tools restricted.

All invitation data sent via `invite_new_advocate` is transmitted over encrypted channels directly to the API. Vinkius runs the server in an ephemeral sandbox, meaning no personal contact details or email addresses are ever logged or stored on our infrastructure.

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