Zenserp MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"zenserp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Zenserp MCP Server
Connect your Zenserp account to any AI agent and harness the power of real-time search intelligence through natural conversation.
Cursor's Agent mode turns Zenserp into an in-editor superpower. Ask Cursor to generate code using live data from Zenserp and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Organic Search — Retrieve structured organic results from Google, Bing, Yandex, and DuckDuckGo including titles, URLs, and snippets
- Image Discovery — Find high-quality images and retrieve direct source or thumbnail URLs across the major search engines
- Local Intelligence — Search Google Maps for business listings, physical addresses, ratings, and reviews for any location
- News Monitoring — Retrieve breaking stories and current articles from Google News with precise timestamps and source metadata
- E-commerce Auditing — Compare product prices and availability by scraping Google Shopping results into structured JSON
- Video Search — Find indexed videos across various platforms through Google Video and YouTube search tools
- Geographic Precision — Execute searches with specific location parameters (e.g., 'New York, NY') to see localized results
The Zenserp MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zenserp to Cursor via MCP
Follow these steps to integrate the Zenserp MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Zenserp
Open Agent mode in chat and ask: "Using Zenserp, help me...". 10 tools available
Why Use Cursor with the Zenserp MCP Server
Cursor AI Code Editor provides unique advantages when paired with Zenserp through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Zenserp + Cursor Use Cases
Practical scenarios where Cursor combined with the Zenserp MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Zenserp MCP Tools for Cursor (10)
These 10 tools become available when you connect Zenserp to Cursor via MCP:
search_bing
Retrieves organic search results from Microsoft Bing
search_duckduckgo
Retrieves organic search results from DuckDuckGo
search_google
Provide a query string and optional location (e.g. "New York,NY"). Retrieves organic search results from Google
search_images
Retrieves image search results from Google
search_maps
Retrieves local business listings and reviews from Google Maps
search_news
Returns articles with titles, snippets, and timestamps. Retrieves current news articles from Google News
search_shopping
Retrieves product prices and availability from Google Shopping
search_videos
Retrieves video search results from Google Video search
search_yandex
Retrieves search results from the Yandex search engine
search_youtube
Retrieves search results directly from the YouTube platform
Example Prompts for Zenserp in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Zenserp immediately.
"Search Google for 'best CRM software for small business' and show me the top 5 organic results."
"Find restaurants in 'Austin, TX' using Google Maps and show their ratings."
"What are the current news headlines for 'generative AI'?"
Troubleshooting Zenserp MCP Server with Cursor
Common issues when connecting Zenserp to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Zenserp + Cursor FAQ
Common questions about integrating Zenserp MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Zenserp with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zenserp to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.