How to Use the Birdeye MCP in CrewAI

Q: How do I handle Birdeye review lists in CrewAI?

The listreviews tool returns the data as a structured object. Your agent can iterate through this list to perform batch processing.

Deploy a specialized CrewAI team to manage your reputation with Birdeye tools.

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Connect Birdeye MCP to CrewAI

Create your Vinkius account to connect Birdeye 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 Birdeye with CrewAI

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Run a reputation crew with the Birdeye MCP Server

Assign an agent to use `list_reviews` to gather feedback for your team. A second agent can then analyze the sentiment and draft a response. Use `reply_to_review` to finalize the action. The crew handles the entire cycle without you needing to step in.

Automate survey management in CrewAI

Give your research agent access to `list_surveys` and `get_survey_responses`. They identify which customers need a follow-up based on the data. Your action agent then triggers `checkin_customer` for those users. It creates a closed-loop system for your customer experience operations.

Scale operations with Birdeye and CrewAI

Program your agents to use `list_locations` to handle multi-site reputations. Each agent focuses on a specific region or business unit. Query `get_business_info` to ensure your agents have the correct context for every response. It keeps your brand voice consistent across all channels.

Setup guide

Set up Birdeye 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 Birdeye tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the server URL in your agent configuration. CrewAI automatically discovers the tools and makes them available for your crew members.

They can. Since the server is stateless, each agent manages its own requests while the underlying data remains consistent.

You can use a tool filter to limit what each agent sees. This prevents agents from accessing sensitive functions they don't need.

The `list_reviews` tool returns the data as a structured object. Your agent can iterate through this list to perform batch processing.

We enforce strict sandbox isolation for every agent session. No other process can intercept the contact details or survey results you pull.

Use it with your favorite AI tools

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