How to Use the OneLocal LocalReviews MCP in CrewAI

Q: How do I add OneLocal LocalReviews tools to a CrewAI agent?

Install the library with pip install crewai "crewaitools" and connect the MCP Server by passing your Vinkius HTTP endpoint URL directly into the agent's config. For advanced setups, use MCPServerHTTP to filter which tools your agents can access.

Q: Can OneLocal LocalReviews and CrewAI agents automatically track overall business standing?

Yes, your agents can use getreputation to fetch aggregate ratings and review counts. This allows the crew to monitor your overall score and adjust their outreach campaigns if they notice a drop in positive feedback.

Q: Does the OneLocal LocalReviews integration with CrewAI verify connection status on startup?

Yes, your lead agent can invoke the checkonelocalstatus tool before assigning tasks to the rest of the crew. This step verifies that the OneLocal API is responding, preventing agents from wasting tokens on broken requests.

Q: Can a CrewAI agent run both SMS and email campaigns?

Yes, the requestreview tool supports both delivery methods. Your marketing agent can decide which channel to use based on the customer contact information available in your database.

Deploy a team of autonomous agents to monitor local reviews and trigger campaigns using CrewAI.

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Connect OneLocal LocalReviews MCP to CrewAI

Create your Vinkius account to connect OneLocal LocalReviews to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup OneLocal LocalReviews with CrewAI

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Deploy specialized agents for reputation monitoring

The `list_reviews` tool allows your monitoring agent to gather the latest customer posts across all locations. In a CrewAI setup, this agent can pass the raw text to an analysis agent that evaluates sentiment and drafts responses. For deeper context, the agents can call `get_review` to analyze specific customer complaints or praise. This cooperative approach lets your digital crew handle reputation management tasks without human supervisors needing to read every piece of feedback.

Run autonomous review request campaigns via MCP Server

The `request_review` tool gives your outreach agent the ability to contact customers directly via SMS or email. By using this MCP Server, your CrewAI team can coordinate who gets invited based on transaction logs, ensuring you do not spam your customer base. The team can monitor these efforts using `list_campaigns` and `get_campaign` to see which templates get the highest response rates. This autonomous feedback loop helps your agents tweak their timing and messaging based on actual performance data.

Coordinate multi-location operations across your crew

The `list_locations` tool helps your manager agent map out every store branch using the MCP interface. Your crew can then divide and conquer, assigning specific agents to track the performance of individual storefronts using `get_location`. The crew can also check word-of-mouth traction by running `list_referrals` to see which branches generate the most customer recommendations. This keeps your entire multi-location operation organized under a single autonomous workflow.

Setup guide

Set up OneLocal LocalReviews 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 OneLocal LocalReviews tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the library with `pip install crewai "crewai[tools]"` and connect the MCP Server by passing your Vinkius HTTP endpoint URL directly into the agent's config. For advanced setups, use `MCPServerHTTP` to filter which tools your agents can access.

Yes, your agents can use `get_reputation` to fetch aggregate ratings and review counts. This allows the crew to monitor your overall score and adjust their outreach campaigns if they notice a drop in positive feedback.

Yes, your lead agent can invoke the `check_onelocal_status` tool before assigning tasks to the rest of the crew. This step verifies that the OneLocal API is responding, preventing agents from wasting tokens on broken requests.

Yes, the `request_review` tool supports both delivery methods. Your marketing agent can decide which channel to use based on the customer contact information available in your database.

All sensitive contact details, review text, and referral records are processed securely within the Vinkius zero-trust environment. The MCP Server runs inside an isolated, ephemeral sandbox that immediately destroys all runtime data once your CrewAI session completes.

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