How to Use the Appier MCP in CrewAI

Q: How do I configure Appier tools for a CrewAI agent?

Begin by installing crewaitools and pass your Vinkius URL in the agent's mcps list. The agent automatically discovers tools like listcampaigns using our managed MCP Server.

Q: Can I limit which Appier tools a CrewAI agent can use?

Configure MCPServerHTTP from crewai.mcp and apply a toolfilter to restrict access to sensitive tools like listpredictions.

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Connect Appier MCP to CrewAI

Create your Vinkius account to connect Appier 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 Appier with CrewAI

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Multi-agent campaign analysis

The `get_campaign_analytics` tool provides detailed performance metrics for your active marketing campaigns. In a CrewAI setup, an Analyst Agent runs this tool to gather raw conversion data, while a Strategy Agent reviews the output. They collaborate to find underperforming ads. This collaborative approach uses CrewAI's shared memory. The Analyst Agent shares its findings directly with the Strategy Agent, who then decides which audience segments need adjustments.

Target audience optimization via CrewAI

The `list_audiences` tool pulls all defined target audiences from your Appier account. Your research agent uses this to inspect active cohorts, comparing them against the conversion events retrieved by `list_conversions`. The agent team works together to spot gaps in your targeting. You configure this by passing the Vinkius URL directly to the agent's `mcps` array. CrewAI handles the heavy lifting, exposing the tools to the specific agents who need them.

Selective tool exposure with an MCP Server

The `list_predictions` tool retrieves your predictive models so your agents can anticipate user behavior. When using this MCP Server, you might want to restrict access. CrewAI lets you use `MCPServerHTTP` with a `tool_filter` to expose only specific tools to specific agents. This keeps your operations secure. Your copywriter agent doesn't need access to predictive models, but your media buyer agent does. You control exactly who gets what.

Setup guide

Set up Appier 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 Appier tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Begin by installing `crewai[tools]` and pass your Vinkius URL in the agent's `mcps` list. The agent automatically discovers tools like `list_campaigns` using our managed MCP Server.

Configure `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter` to restrict access to sensitive tools like `list_predictions`.

CrewAI agents pass campaign metrics and audience insights through shared memory. One agent fetches metrics using `get_campaign_analytics` and passes the parsed context directly to the next agent.

The platform supports stdio, SSE, and Streamable HTTP. The Vinkius gateway handles these protocols, letting your Python crew talk to the TypeScript-based tools.

Your conversion payloads are processed in transit and never stored on disk. All tool executions run inside Vinkius's ephemeral MCP sandbox.

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