How to Use the Linkup (AI Search & RAG) MCP in LlamaIndex

Q: Can I restrict which tools LlamaIndex can access from this server?

Yes, you can use the allowedtools filter in LlamaIndex to expose only the fetch or search tools depending on your agent's specific role. This keeps your agent's tool space clean.

Index live web search results directly into your LlamaIndex vector stores to eliminate agent hallucinations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Linkup (AI Search & RAG) MCP to LlamaIndex

Create your Vinkius account to connect Linkup (AI Search & RAG) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Linkup (AI Search & RAG) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn live search results into queryable indexes

The `search_web` tool fetches real-time web results that you can immediately ingest into your LlamaIndex vector store. This MCP server lets your indexers grab real-time information without complex custom pipelines. It bridges the gap between static documents and the live web. Instead of just reading a search snippet, your agent searches past query sessions. This means your RAG application grounds its answers in actual, freshly indexed data rather than guessing.

Extract clean document text for RAG pipelines

To clean up raw HTML, `fetch_url` strips out navigation menus and ads before sending data to LlamaIndex. Raw HTML is poison for vector embeddings because it dilutes the actual semantic content. You get clean, high-signal text that makes your embeddings highly accurate. The tool even bypasses advanced bot protection and runs complex JavaScript. You get the actual content of modern web apps delivered directly to your indexer without writing custom selenium scripts.

Toggle search depth to optimize LlamaIndex latency

With `search_web`, you can toggle between fast lookups and deep research to manage your LlamaIndex query latency. High latency ruins the user experience in RAG applications. Choose the fast setting to keep index generation times under a second. This MCP tool lets you balance speed and depth. Your LlamaIndex agents stay highly responsive while still having access to thorough web research when the query demands it.

Setup guide

Set up Linkup (AI Search & RAG) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Linkup (AI Search & RAG) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Linkup (AI Search & RAG) tools.",
)
response = await agent.run("List recent Linkup (AI Search & RAG) data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Linkup. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Linkup (AI Search & RAG) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Linkup (AI Search & RAG) MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the client with your Vinkius endpoint. Convert the client tools using McpToolSpec and pass them to your FunctionAgent or query engine.

Yes. Your LlamaIndex agent can use this MCP Server to find current articles, index them on the fly, and then query that temporary index to formulate its final response.

The server manages connection pooling and handles the raw API limits internally. Your LlamaIndex code just awaits the tool calls, and the server ensures the web data returns without crashing your pipeline.

Yes, you can use the allowed_tools filter in LlamaIndex to expose only the fetch or search tools depending on your agent's specific role. This keeps your agent's tool space clean.

The scraped HTML and search parameters are processed in memory within Vinkius's secure V8 isolates. The raw page content is stripped to clean text, handed back to LlamaIndex, and immediately discarded from our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript