How to Use the ValueSERP MCP in Cursor

Q: What data types can ValueSERP provide for Cursor?

It delivers diverse data: image URLs from googleimagesearch, structured product lists from googleshoppingsearch, and text snippets from standard searches. The output is ready to be used in your code.

Q: Can I use ValueSERP for academic research within Cursor?

Absolutely. Use the googlescholarsearch tool. This brings abstracts and publication details into your working context, letting you write code that processes scholarly data types.

Q: Does ValueSERP support real-time market data for Cursor?

Yes. The googleshoppingsearch tool provides live product names and prices, letting your agent build e-commerce features that reflect current market conditions.

Inject live Google search context directly into your Cursor coding workflow.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ValueSERP MCP to Cursor

Create your Vinkius account to connect ValueSERP to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ValueSERP with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Data Context for Code Generation

The `google_search` tool allows the AI agent to run standard queries and inject the resulting text snippets right where you're typing. This eliminates the need for mock data or hardcoding assumptions. Need structured information? The `custom_serp_search` tool lets your code define precise parameters, ensuring the live search response matches the JSON structure you expect.

Automating Data Collection APIs

Build functions that scrape complex data sets using ValueSERP. For instance, your agent can call `google_shopping_search` to get product names and prices, and then use those variables in a database write statement. It's like having built-in API wrappers for Google’s entire search suite—from `get_related_questions` to `google_video_search`.

Building Feature Parity with External APIs

Write code that accurately reflects real-world context. If you're building a local discovery feature, use `google_places_search`. This makes your application feel live and connected to the physical world. Similarly, if your app tracks academic research, rely on `google_scholar_search` results instead of static placeholder data.

Setup guide

Set up ValueSERP 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 ValueSERP 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 ValueSERP transactions." If the MCP tools are loaded correctly, Cursor will call the ValueSERP tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "valueserp-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 ValueSERP. 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 ValueSERP 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 ValueSERP MCP in Cursor

It works by letting the AI agent call tools and inject live API responses directly into your code. You see the real search results right in the editor, helping you write accurate, context-aware functions.

It delivers diverse data: image URLs from `google_image_search`, structured product lists from `google_shopping_search`, and text snippets from standard searches. The output is ready to be used in your code.

Absolutely. Use the `google_scholar_search` tool. This brings abstracts and publication details into your working context, letting you write code that processes scholarly data types.

The server touches general search data (query strings) and public commercial data. Since the AI generates code using these responses, your agent must handle any necessary sanitization before committing it to a codebase.

Yes. The `google_shopping_search` tool provides live product names and prices, letting your agent build e-commerce features that reflect current market conditions.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript