How to Use the Microlink MCP in LlamaIndex

Q: How do I add Microlink tools to a LlamaIndex agent?

Install llama-index-tools-mcp and instantiate BasicMCPClient with your Vinkius endpoint. Convert it using the MCP client adapter and pass the resulting tool list to your FunctionAgent.

Turn raw web pages into searchable index nodes for your LlamaIndex RAG pipelines using managed browser tools.

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Connect Microlink MCP to LlamaIndex

Create your Vinkius account to connect Microlink 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.

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Setup Microlink with LlamaIndex

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Feed real-time web metadata into LlamaIndex

`extract_metadata` pulls clean, structured JSON from any web page to enrich your LlamaIndex document indexes. Your LlamaIndex pipeline ingests this raw Microlink data, converting web content into searchable text nodes. You avoid parsing messy HTML manually inside your LlamaIndex routines. The agent queries this fresh Microlink data to answer user questions with zero hallucination.

Run performance audits via MCP Server tools

`get_insights` retrieves technical performance metrics and technology stacks for any live website directly into LlamaIndex. LlamaIndex stores these Microlink performance profiles directly inside your vector database for semantic comparison. Analysts query this LlamaIndex database to find architectural patterns across thousands of sites audited by Microlink. This setup bypasses manual speed tests entirely by using LlamaIndex's indexing capabilities on Microlink data.

Execute deep queries with LlamaIndex

`advanced_query` gives your LlamaIndex agent granular control over the API parameters for complex scraping tasks. Your LlamaIndex workflow uses this Microlink tool to bypass proxy blocks and target specific page elements. The retrieved Microlink data integrates directly into your existing LlamaIndex RAG pipeline. This keeps your LlamaIndex knowledge base updated with hard-to-reach web sources.

Setup guide

Set up Microlink 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 Microlink 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 Microlink tools.",
)
response = await agent.run("List recent Microlink data")

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Common questions about Microlink MCP in LlamaIndex

Install `llama-index-tools-mcp` and instantiate `BasicMCPClient` with your Vinkius endpoint. Convert it using the MCP client adapter and pass the resulting tool list to your `FunctionAgent`.

Yes, it can. When the tool returns the image buffer, you can pass it to a multimodal index or store it as an image document node in your vector store.

It extracts clean, noise-free text and structured metadata. This prevents your vector database from indexing boilerplate code, headers, and footers, which improves search relevance.

Yes, you can restrict your agent to specific capabilities, like only allowing metadata tools while blocking screenshot or PDF generation tools.

Every file buffer and screenshot generated by the MCP Server is handled in memory and sent over secure TLS connections. No persistent storage is used, keeping your document assets secure.

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