How to Use the Fly.io Extended MCP in LlamaIndex

Q: Can I use Fly.io Extended and LlamaIndex to query historical app data?

You can index the output of listapps and getapp into your vector store. This allows you to ask questions about your fleet's historical structure and resource allocation.

Index your live infrastructure state from Fly.io Extended directly into LlamaIndex for grounded, searchable system knowledge.

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Connect Fly.io Extended MCP to LlamaIndex

Create your Vinkius account to connect Fly.io Extended 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 Fly.io Extended with LlamaIndex

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Index live infrastructure data

Turn your current platform state into a searchable knowledge base. By running `list_apps` or `get_machine` and indexing the results, your RAG system understands your actual production footprint. This prevents the common issue of agents hallucinating about resources that don't exist. Your agent queries the index to find the correct machine ID before attempting an update.

Ground AI decisions in real-time

Use the Fly.io Extended MCP server to supply context for your queries. Instead of relying on static docs, your agent retrieves live volume metadata using `get_volume` to answer questions about disk usage. This creates a feedback loop where your documentation and infrastructure are always in sync. Your LlamaIndex agent provides answers based on the current state of your cloud resources.

Searchable infrastructure history

Store snapshot data from `list_volume_snapshots` in your vector store. You can query your past infrastructure states to identify when a specific configuration change occurred. This makes auditing your infrastructure changes trivial. You search your history for specific machine configurations without digging through logs or external dashboards.

Setup guide

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

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Common questions about Fly.io Extended MCP in LlamaIndex

You wrap the MCP server tools using the provided spec and add them to your function agent. The agent then retrieves the live infrastructure state to ground its responses.

You can index the output of `list_apps` and `get_app` into your vector store. This allows you to ask questions about your fleet's historical structure and resource allocation.

The server only touches your application and machine metadata. This specific configuration data is scoped to your organization and never leaves your secure RAG index.

Yes, you can define an allowed list of tools to prevent the agent from performing unauthorized actions like `delete_app`. This keeps your infrastructure safe while providing read-only access for queries.

By indexing your current machine statuses, your agent can quickly identify which resources are failing during an outage. It provides grounded answers based on the latest platform data.

Use it with your favorite AI tools

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