Linkup (AI Search & RAG) Connector for AI agents.
2 live capabilities
Give your agent real-time web intelligence and clean data for RAG pipelines.
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Why people use Linkup (AI Search & RAG)
Linkup (AI Search & RAG) for Real-Time Web Intelligence
Linkup changes that by acting as a filter. It goes out, grabs the page, and brings back only the content that matters. You get a clean feed of information that your agent can actually use to form a coherent answer.
What Vinkius changes
You get live, clean web data fed directly into your agent's context.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing outdated training data
An agent can't find today's stock prices.
- Real-world use case 02
Parsing messy documentation
A URL has too many ads and sidebars.
- Real-world use case 03
Deep research dives
A researcher needs a deep dive on a complex topic.
Complete set · 2capabilities
The complete Linkup (AI Search & RAG) capability set.
These are the exact actions your AI can choose when you ask it to work with Linkup (AI Search & RAG).
01—02
2 capabilities in this set.
Part of 2 available through Linkup (AI Search & RAG).
- 01 Capability
Search web
Perform a real-time web search to get high-relevancy results. You can choose between fast and deep modes depending on your research needs.
- 02 Capability
Fetch url
Extract clean text from a specific URL by bypassing bot protections. This capability strips out noise like ads and navigation menus.
Set up in minutes
One URL. Then ask Linkup (AI Search & RAG) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Linkup (AI Search & RAG) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Linkup (AI Search & RAG), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Linkup (AI Search & RAG) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Linkup (AI Search & RAG) URL.
- Step 03
Save and start
Save the connection and enable Linkup (AI Search & RAG) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkup-ai-search-rag": {
"url": "https://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Linkup (AI Search & RAG)
Open Agent mode in chat and ask: "Using Linkup (AI Search & RAG), help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkup-ai-search-rag": {
"url": "https://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Linkup (AI Search & RAG)
Ask Copilot: "Using Linkup (AI Search & RAG), help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkup-ai-search-rag": {
"url": "https://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Linkup (AI Search & RAG)
Open Cascade and ask: "Using Linkup (AI Search & RAG), help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkup-ai-search-rag": {
"url": "https://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Linkup (AI Search & RAG)
Ask Cline: "Using Linkup (AI Search & RAG), help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkup-ai-search-rag --transport http "https://edge.vinkius.com/vk_preview_6MBobpztinLkOqkGxene1fS4BgK9H89LfuofbiiY/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Linkup (AI Search & RAG)
Ask Claude: "Using Linkup (AI Search & RAG), show me...". 2 tools are ready
Where the request belongs
Work Linkup can move forward.
This is for RAG developers and engineers who are tired of their agents hallucinating because of stale data or getting confused by messy website headers.
RAG Developer
You use this to give your production agents real-time grounding without building your own scrapers.
AI/ML Engineer
You use this to pull clean web content for creating high-quality evaluation datasets or fine-tuning data.
Market Researcher
You use this to perform large-scale data collection and fact-finding across the web without manual scripts.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Equip your AI with direct access to your R2R engine. execute vector searches, run precise RAG queries, and manage your documents.
GroundX
Data search and RAG optimization platform.
Amazon Bedrock KB
Connect your AI agent to AWS Bedrock Knowledge Bases. execute semantic searches, managed RAG, and sync vector datasources natively.
FastGPT
Manage FastGPT Knowledge Bases. automate dataset creation, document ingestion, and RAG search directly from any AI agent.
Verba
Connect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.
Bring your own AI
Change the model, client or framework. Keep Linkup connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Linkup.
The practical details behind the request, access and result.
Can Linkup (AI Search & RAG) help my agent see live news?
Yes. It connects your agent to the live web so it can pull in current facts and news that weren't in its original training data.
How does Linkup (AI Search & RAG) handle bot protections?
It automatically bypasses advanced bot protections, allowing your agent to fetch content from sites that usually block scrapers.
Can I use Linkup (AI Search & RAG) for RAG pipelines?
Absolutely. It provides structured payloads with titles and snippets, making it easy to feed clean data into your vector store.
Does Linkup (AI Search & RAG) clean up messy websites?
Yes. It strips away ads, navigation menus, and headers, so your agent only sees the actual content of the page.
Is Linkup (AI Search & RAG) good for deep research?
Yes. It features a deep search mode specifically designed for thorough research that requires looking across multiple sources.
How can Linkup help my agent provide more up-to-date answers?
Use the linkup_search capability to give your agent access to live web data. By performing semantic searches across the internet, your agent can retrieve the latest news, reports, and documentation, grounding its answers in current facts.
Can I extract clean text from a specific URL for RAG?
Yes. The linkup_fetch capability is specifically designed for content extraction. It renders the target page and returns a clean text version stripped of navigation and ads, making it ideal for feeding high-quality context to your agent.
What is the difference between standard and deep search modes?
Standard search focuses on rapid fact-finding and top results. Deep search performs a more comprehensive crawl across many more sources, which is better for complex research tasks that require diverse perspectives and detailed data.
One connection away
Give your agent a direct line to Linkup.
Connect Linkup once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available