How to Use the OneLocal LocalReviews MCP in Cursor

Q: Can Cursor write tests for OneLocal LocalReviews endpoints?

Yes. The agent will call getreview to grab a sample response. It then writes your unit tests using that exact JSON structure as the expected output.

Q: Are my campaign details exposed to the AI provider?

When the agent runs getcampaign, the marketing parameters and budget data are sent to the LLM to generate your code. Cursor transmits this context securely. Vinkius isolates the connection in a zero-trust environment that leaves no trace after execution.

Build reputation dashboards faster by connecting Cursor to your live OneLocal data via MCP.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect OneLocal LocalReviews MCP to Cursor

Create your Vinkius account to connect OneLocal LocalReviews to Cursor — 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Code with real OneLocal LocalReviews data

This MCP Server connects your coding environment straight to your active business profiles. When you tell Cursor to build a review widget, Agent mode calls `list_reviews` to grab real customer comments. The AI writes the component using actual payload structures instead of guessing the JSON schema. Mock data wastes time. By running `get_reputation`, your agent sees the exact data types returned by the OneLocal API. It generates the frontend TypeScript interfaces perfectly on the first try because it already read the live response.

Map locations without reading docs

Building multi-tenant local SEO tools requires exact location mapping. Your agent runs `list_locations` to pull every storefront ID attached to your account. You can then ask it to drill down into specific store details using `get_location`. The same logic applies to your customer acquisition tracking. The AI can call `list_referrals` to see how word-of-mouth data is formatted. It then writes the database migration or API wrapper based on the real fields coming back from the server.

Implement review requests via MCP

Writing the logic to ask for feedback is tricky when you cannot test the endpoint. Cursor can run `check_onelocal_status` to verify auth before writing a single line of code. Then it uses `request_review` to understand the exact SMS and email payload requirements. You get working backend code that actually sends the requests. If you are building an internal admin panel, the agent can also wire up `list_campaigns` and `get_campaign` to display active marketing efforts. You skip the API documentation entirely.

Setup guide

Set up OneLocal LocalReviews MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the OneLocal LocalReviews MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent OneLocal LocalReviews transactions." If the MCP tools are loaded correctly, Cursor will call the OneLocal LocalReviews tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "onelocal-localreviews-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect OneLocal LocalReviews now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about OneLocal LocalReviews MCP in Cursor

Create an mcp.json file in your project root directory. Add the server execution details and your API credentials. Turn on Agent mode in the chat panel to start using the tools.

Yes. The agent will call `get_review` to grab a sample response. It then writes your unit tests using that exact JSON structure as the expected output.

You likely forgot to enable Agent mode in the chat interface. Regular chat cannot execute tools. Switch to Agent mode so the editor can actually run the commands.

You can configure the server globally in your hidden Cursor directory. This makes the tools available in every project you open.

When the agent runs `get_campaign`, the marketing parameters and budget data are sent to the LLM to generate your code. Cursor transmits this context securely. Vinkius isolates the connection in a zero-trust environment that leaves no trace after execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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