How can Linkup help my agent provide more up-to-date answers?

Use the `linkup_search` tool 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` tool 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.

Linkup (AI Search & RAG) MCP Server for AutoGen 2 tools — connect in under 2 minutes

Name: Linkup (AI Search & RAG)
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 2 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Linkup (AI Search & RAG) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="linkup_ai_search_rag_agent",
            tools=tools,
            system_message=(
                "You help users with Linkup (AI Search & RAG). "
                "2 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Linkup (AI Search & RAG) tools. Connect 2 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Linkup (AI Search & RAG) MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 2 tools from Linkup (AI Search & RAG) automatically

Why Use AutoGen with the Linkup (AI Search & RAG) MCP Server

AutoGen provides unique advantages when paired with Linkup (AI Search & RAG) through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Linkup (AI Search & RAG) tools to solve complex tasks

Role-based architecture lets you assign Linkup (AI Search & RAG) tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Linkup (AI Search & RAG) tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Linkup (AI Search & RAG) tool responses in an isolated environment

Linkup (AI Search & RAG) + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Linkup (AI Search & RAG) MCP Server delivers measurable value.

Collaborative analysis: one agent queries Linkup (AI Search & RAG) while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Linkup (AI Search & RAG), a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Linkup (AI Search & RAG) data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Linkup (AI Search & RAG) responses in a sandboxed execution environment

Linkup (AI Search & RAG) MCP Tools for AutoGen (2)

These 2 tools become available when you connect Linkup (AI Search & RAG) to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Linkup (AI Search & RAG) to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Linkup (AI Search & RAG) + AutoGen FAQ

Common questions about integrating Linkup (AI Search & RAG) MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Linkup (AI Search & RAG) tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.