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 Google ADK 2 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 2 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Linkup (AI Search & RAG) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="linkup_ai_search_rag_agent",
    instruction=(
        "You help users interact with Linkup (AI Search & RAG) "
        "using 2 available tools."
    ),
    tools=[mcp_tools],
)

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* 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.

Google ADK natively supports Linkup (AI Search & RAG) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 2 tools from Linkup (AI Search & RAG) via MCP

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

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Linkup (AI Search & RAG)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Linkup (AI Search & RAG) tools with BigQuery, Vertex AI, and Cloud Functions

Linkup (AI Search & RAG) + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Linkup (AI Search & RAG) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Linkup (AI Search & RAG) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Linkup (AI Search & RAG) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Linkup (AI Search & RAG)

Linkup (AI Search & RAG) MCP Tools for Google ADK (2)

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

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Linkup (AI Search & RAG) + Google ADK FAQ

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

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.