How to Use the Appbot MCP in CrewAI

Q: Can I filter Appbot results for my CrewAI agents?

Yes, you can use the toolfilter feature to restrict which tools specific agents can access. This keeps your specialized agents focused.

Deploy autonomous support teams in CrewAI that use Appbot to monitor and respond to user feedback.

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Connect Appbot MCP to CrewAI

Create your Vinkius account to connect Appbot 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 Appbot with CrewAI

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Autonomous monitoring with CrewAI

Assign a researcher agent to scan store ratings using `list_reviews` while a moderator agent evaluates the content. You build a self-sustaining loop that catches bugs before they spread. This MCP Server acts as the eyes for your crew. It provides the granular data points needed for your agents to make informed decisions.

Role-based review analysis

Give your analyst agent access to `get_review_details` while your reporter agent handles `list_countries`. You specialize each agent to handle different parts of your feedback loop. Collaboration happens because the agents share the context provided by these tools. You don't need to babysit the process.

Sentiment-driven escalation

Configure your agents to check sentiment scores and use `list_topics` to identify recurring issues. When a threshold is met, the crew flags the issue for your team. It turns raw review data into actionable intelligence. Your agents run 24/7 without needing human intervention to read every single line of text.

Setup guide

Set up Appbot 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 Appbot tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Appbot 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 →

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Common questions about Appbot MCP in CrewAI

Pass the server URL into the agent's MCP list. CrewAI handles the rest, allowing your agents to start calling tools immediately.

Yes, you can use the tool_filter feature to restrict which tools specific agents can access. This keeps your specialized agents focused.

Every agent in the crew can access the server. They share the same tool definitions but can use them for different tasks within the workflow.

It is ephemeral. The connection is established when the crew starts and terminates when the task is complete, ensuring a clean state.

The server operates within a secure sandbox environment. It only touches the review text and metadata required to fulfill the specific requests made by your agents.

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