How to Use the UpCloud MCP in LlamaIndex

Q: Can I use LlamaIndex for networking tasks with UpCloud?

Yes. Indexing the list of IPs (listips) and networks (listnetworks) allows your application to answer detailed questions about connectivity without needing a live connection every time.

Build searchable knowledge bases with LlamaIndex and UpCloud's MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect UpCloud MCP to LlamaIndex

Create your Vinkius account to connect UpCloud 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 UpCloud with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

MCP Server for LlamaIndex Knowledge Augmentation

LlamaIndex indexes API results into a searchable knowledge base. Run `get_account` to retrieve account information, and then index that structured data. Later, you query the index to ask questions like, 'What's my current billing status?' without needing the live tool call again. This makes your application durable. If you ran `list_servers`, the resulting list of servers gets stored in a vector store. You can later search that history and get answers grounded in actual API data.

Querying Infrastructure Status with LlamaIndex

You query past configurations, not just current ones. For instance, if you ran `get_kubernetes_kubeconfig`, the output credentials can be indexed. When an end-user asks about the cluster setup months later, your agent retrieves that specific kubeconfig data from the index. It's perfect for compliance and auditing. You index results from `list_audit_logs` so you can answer questions like, 'When did I last modify a firewall rule?' using natural language search over recorded events.

Managing Data Lifecycle with LlamaIndex

The agent handles data movement and backups. Call `backup_storage` to create a backup, then index the resulting metadata. This allows you to track restore points semantically. If an issue occurs, your system knows exactly where to look in the indexed history. You can also manage resource lifecycles. After calling `create_server`, indexing the server details means future queries about that specific machine's specs are fast and reliable.

Setup guide

Set up UpCloud 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 UpCloud 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 UpCloud tools.",
)
response = await agent.run("List recent UpCloud 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 UpCloud. 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 UpCloud 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 UpCloud MCP in LlamaIndex

You query historical billing summaries by indexing results from `get_billing_summary`. This allows users to ask complex questions about spending patterns that are grounded in actual API records.

Yes. Indexing the list of IPs (`list_ips`) and networks (`list_networks`) allows your application to answer detailed questions about connectivity without needing a live connection every time.

The server touches multiple data types, including account audit logs and storage metadata. You can index the output of `list_object_storages` to build a comprehensive knowledge graph.

The MCP Server provides stable data sources. When you combine live API calls with indexed data, your application gets answers that are both current and historically verifiable.

The server tracks infrastructure state details, including account audit logs and detailed server configurations. You can specifically get the full `get_account` information to index it.

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