How to Use the GeTui / 个推 MCP in CrewAI

Q: How do my CrewAI agents map business usernames to GeTui / 个推 Client IDs?

The crew uses queryuseralias to find the correct Client ID. This lets your agents work with human-readable usernames instead of raw system hashes.

Deploy an autonomous multi-agent crew to manage, optimize, and report on your CrewAI push campaigns.

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Connect GeTui / 个推 MCP to CrewAI

Create your Vinkius account to connect GeTui / 个推 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 GeTui / 个推 with CrewAI

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Autonomous Campaign Moderation

The `push_to_all` tool allows a moderator agent in your CrewAI team to broadcast notifications to your entire user base. A separate supervisor agent can review the draft copy before the moderator agent executes the tool. This team structure prevents accidental or low-quality push notifications. The agents collaborate to refine the message, verify targets, and execute the dispatch autonomously.

Smart Target Filtering and Segmenting

The `get_user_tags` tool lets a researcher agent analyze the Chinese user base's segments. Once the researcher identifies high-value targets, it passes the list of Client IDs to a dispatcher agent. The dispatcher then calls `push_to_list` to send highly personalized updates. This division of labor ensures your push notifications match user behavior without manual list preparation.

Automated Performance Auditing MCP Server

The `get_daily_push_report` tool provides raw campaign metrics that an analyst agent can audit. The agent compares the report against historical logs retrieved via `get_app_user_stats` to spot delivery anomalies. The MCP Server delivers these metrics to the agent, who then coordinates with a troubleshooter agent to check device statuses using `get_cid_status`. This allows your crew to diagnose network issues in China without human intervention.

Setup guide

Set up GeTui / 个推 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 GeTui / 个推 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent GeTui / 个推 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 GeTui / 个推. 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 GeTui / 个推 MCP in CrewAI

The crew uses `query_user_alias` to find the correct Client ID. This lets your agents work with human-readable usernames instead of raw system hashes.

Yes, use the tool filter option in CrewAI to assign specific tools to specific roles. For example, give `push_to_single` to your support agent and restrict `push_to_all` to your marketing lead agent.

CrewAI connects to the MCP Server over SSE or Streamable HTTP. You pass the server URL directly into the agent's configuration array.

The server returns an error code, which the agent reads. The agent then rewrites the payload to match the expected schema and retries the call.

Yes, Vinkius runs this server in a zero-trust, ephemeral V8 sandbox. Daily push reports and application stats are processed in real-time and never written to persistent logs.

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