Linkup (AI Search & RAG) MCP Server for Cursor 2 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": {
"linkup-ai-search-rag": {
"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 Linkup (AI Search & RAG) MCP Server
Connect your Linkup account to any AI agent and take full control of real-time web intelligence and content retrieval for RAG pipelines through natural conversation.
Cursor's Agent mode turns Linkup (AI Search & RAG) into an in-editor superpower. Ask Cursor to generate code using live data from Linkup (AI Search & RAG) and it fetches, processes, and writes — all in a single agentic loop. 2 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Semantic Web Search — Execute context-rich queries that return high-relevancy results specifically optimized for Large Language Models directly from your agent
- Deep Content Retrieval — Extract clean, readable text from any web URL, stripping away noise and navigation to feed high-quality grounding data to your AI
- RAG-Ready Payloads — Retrieve structured search results including titles, snippets, and source URLs designed for seamless integration into vector stores
- Precision Extraction — Target specific URLs for content parsing, ensuring your agent has the exact technical context or documentation required for its task
- Real-time Intelligence — Access the latest facts and data from across the internet to ground your agent's answers in up-to-date reality
- Search Breadth — Switch between standard and deep search modes to balance between rapid fact-finding and comprehensive research across the web
The Linkup (AI Search & RAG) MCP Server exposes 2 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 Linkup (AI Search & RAG) to Cursor via MCP
Follow these steps to integrate the Linkup (AI Search & RAG) 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 Linkup (AI Search & RAG)
Open Agent mode in chat and ask: "Using Linkup (AI Search & RAG), help me..." — 2 tools available
Why Use Cursor with the Linkup (AI Search & RAG) MCP Server
Cursor AI Code Editor provides unique advantages when paired with Linkup (AI Search & RAG) 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
Linkup (AI Search & RAG) + Cursor Use Cases
Practical scenarios where Cursor combined with the Linkup (AI Search & RAG) 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
Linkup (AI Search & RAG) MCP Tools for Cursor (2)
These 2 tools become available when you connect Linkup (AI Search & RAG) to Cursor via MCP:
fetch_url
Bypasses advanced bot protections executing complex SPA JavaScript loops automatically. Fetch and extract clean content from any specific URL using Linkup Platform
search_web
Choose "fast" mapping for basic factual requests and "deep" for thorough research limits. Perform a real-time web search extracting deep answers utilizing Linkup Platform
Example Prompts for Linkup (AI Search & RAG) in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Linkup (AI Search & RAG) immediately.
"Search for the latest NVIDIA earnings report summary"
"Extract the technical specifications from this documentation URL: [url]"
"Deep search for 'AI agent security best practices 2024'"
Troubleshooting Linkup (AI Search & RAG) MCP Server with Cursor
Common issues when connecting Linkup (AI Search & RAG) to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Linkup (AI Search & RAG) + Cursor FAQ
Common questions about integrating Linkup (AI Search & RAG) 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 Linkup (AI Search & RAG) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Linkup (AI Search & RAG) to Cursor
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.