How to Use the Flystack MCP in LlamaIndex

Q: Can LlamaIndex query Flystack metrics for historical analysis?

Yes, by periodically running getclustermetrics and indexing the outputs. This lets your LlamaIndex agent compare current performance against historical baselines stored in your vector database.

Index your Flystack cluster metrics and deployment details into LlamaIndex to query live infrastructure with RAG.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Flystack MCP to LlamaIndex

Create your Vinkius account to connect Flystack 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 Flystack with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index live cluster telemetry in LlamaIndex

Your LlamaIndex agent can run `get_cluster_metrics` and write the raw performance data straight into a vector store. This turns transient infrastructure metrics into searchable documents. When you query your index about resource usage, the agent pulls from this grounded data store instead of guessing. You get answers based on actual cluster performance, not stale configs.

Audit deployments with semantic search

Feed your active configurations into your knowledge index. The agent uses `list_flystack_deployments` to gather every running workload and indexes the details. You can then run natural language queries to find out which services are running outdated images. The agent calls `get_deployment_details` to check specific configurations and updates the index in real time.

Ground agent decisions in cluster state

Prevent your agents from making decisions based on old data. Connecting this MCP Server ensures the agent runs `check_api_status` to ensure the control plane is reachable before attempting any queries. By querying `list_flystack_clusters`, the agent maps out your active infrastructure and saves it to the index. Your RAG pipelines stay accurate because they always reference the live cluster state.

Setup guide

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

Use the LlamaIndex MCP tool spec to connect to the server. Your agent can run `list_flystack_deployments` and load the resulting JSON payloads directly into your document store for indexing.

Yes, by periodically running `get_cluster_metrics` and indexing the outputs. This lets your LlamaIndex agent compare current performance against historical baselines stored in your vector database.

You register the server tools with your agent. The query engine routes questions about cluster health to tools like `list_flystack_clusters` to pull fresh data instead of relying on static files.

Yes, you can use the allowed tools filter in the MCP client setup. For example, you can restrict the indexer to only use `list_flystack_deployments` and ignore the raw metrics tools.

Yes, your configuration metadata and cluster metrics are processed entirely in memory. The connection uses zero-trust MCP sandboxing, meaning no infrastructure data is cached or stored on Vinkius.

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