Fly.io Extended MCP Server for LlamaIndexGive LlamaIndex instant access to 28 tools to Check Certificate, Create Acme Certificate, Create App, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fly.io Extended as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Fly.io Extended MCP Server for LlamaIndex is a standout in the Ship It category — giving your AI agent 28 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Fly.io Extended. "
"You have 28 tools available."
),
)
response = await agent.run(
"What tools are available in Fly.io Extended?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Fly.io Extended MCP Server
Connect your Fly.io account to any AI agent to orchestrate your cloud infrastructure through natural language. This server provides full access to the Fly Machines API, allowing for granular control over global deployments.
LlamaIndex agents combine Fly.io Extended tool responses with indexed documents for comprehensive, grounded answers. Connect 28 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- App Management — Create, list, and delete Fly Apps across your organizations.
- Machine Lifecycle — Start, stop, suspend, and update individual Machines with precise configuration control.
- Storage & Volumes — Provision, extend, and manage persistent volumes and snapshots for your stateful applications.
- Network & Security — Manage ACME and custom certificates, and request OIDC tokens for secure workload identity.
- Real-time Monitoring — Wait for specific machine states and fetch detailed metadata for debugging and orchestration.
The Fly.io Extended MCP Server exposes 28 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 28 Fly.io Extended tools available for LlamaIndex
When LlamaIndex connects to Fly.io Extended through Vinkius, your AI agent gets direct access to every tool listed below — spanning fly-io, cloud-computing, infrastructure-as-code, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check certificate on Fly.io Extended
Trigger DNS validation check for a certificate
Create acme certificate on Fly.io Extended
Request a Let's Encrypt certificate
Create app on Fly.io Extended
Create a new Fly App
Create custom certificate on Fly.io Extended
Import a custom PEM certificate
Create lease on Fly.io Extended
Create a lease for a Machine
Create machine on Fly.io Extended
Requires a config object containing at least the image. Create a new Fly Machine
Create volume on Fly.io Extended
Create a new volume
Delete app on Fly.io Extended
Delete a Fly App
Delete certificate on Fly.io Extended
Remove hostname and certificates
Delete machine on Fly.io Extended
Delete a Machine
Delete volume on Fly.io Extended
Delete a volume
Extend volume on Fly.io Extended
Increase volume size
Get app on Fly.io Extended
Get details about a Fly App
Get certificate on Fly.io Extended
Get certificate details
Get machine on Fly.io Extended
Get Machine details
Get volume on Fly.io Extended
Get volume details
List apps on Fly.io Extended
List Fly Apps
List certificates on Fly.io Extended
List all certificates for an app
List machines on Fly.io Extended
List all Machines in an app
List volume snapshots on Fly.io Extended
List volume snapshots
List volumes on Fly.io Extended
List all volumes in an app
Release lease on Fly.io Extended
Release a lease for a Machine
Request oidc token on Fly.io Extended
Request an OpenID Connect (OIDC) token
Start machine on Fly.io Extended
Start a Machine
Stop machine on Fly.io Extended
Stop a Machine
Suspend machine on Fly.io Extended
Suspend a Machine
Update machine on Fly.io Extended
Update Machine configuration
Wait machine on Fly.io Extended
Wait for a specific Machine state
Connect Fly.io Extended to LlamaIndex via MCP
Follow these steps to wire Fly.io Extended into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Fly.io Extended MCP Server
LlamaIndex provides unique advantages when paired with Fly.io Extended through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fly.io Extended tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fly.io Extended tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fly.io Extended, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fly.io Extended tools were called, what data was returned, and how it influenced the final answer
Fly.io Extended + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fly.io Extended MCP Server delivers measurable value.
Hybrid search: combine Fly.io Extended real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fly.io Extended to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fly.io Extended for fresh data
Analytical workflows: chain Fly.io Extended queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Fly.io Extended in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Fly.io Extended immediately.
"List all my Fly.io apps in the 'personal' organization."
"Start the machine with ID 9185210b6e4d8p in the app 'my-api-server'."
"Create a 10GB volume named 'data_vol' in the 'ams' region for app 'db-primary'."
Troubleshooting Fly.io Extended MCP Server with LlamaIndex
Common issues when connecting Fly.io Extended to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFly.io Extended + LlamaIndex FAQ
Common questions about integrating Fly.io Extended MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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