How do I get a DigitalOcean Personal Access Token?

Log in to your DigitalOcean account, navigate to the **API** section in the sidebar, and under the **Tokens/Keys** tab, click **Generate New Token**. Ensure you select the 'read' or 'write' scopes as needed.

Can the agent reboot a Droplet?

This integration currently focuses on listing and auditing infrastructure resources. Power actions like rebooting or resizing should be managed via the DigitalOcean control panel or CLI.

Is the App Platform supported?

Yes, you can use the list_app_platform_services tool to monitor your applications deployed on DigitalOcean's App Platform and check their current deployment status.

DigitalOcean MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: DigitalOcean
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DigitalOcean as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 DigitalOcean. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in DigitalOcean?"
    )
    print(response)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 DigitalOcean MCP Server

Integrate DigitalOcean, the leading cloud infrastructure provider, directly into your AI workflow. Manage your compute instances (Droplets), monitor block storage and DNS domains, track managed databases, and oversee your App Platform services using natural language.

LlamaIndex agents combine DigitalOcean tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

Compute Oversight — List and retrieve detailed configuration for all your Droplets, including IP addresses and resource status.
Storage & Networking — Monitor block storage volumes and manage DNS domains directly via chat.
Managed Databases — Track your database clusters (Postgres, MySQL, Redis) and their technical metadata.
App Platform Monitoring — Oversee your deployed applications and their active deployment states across projects.

The DigitalOcean MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DigitalOcean to LlamaIndex via MCP

Follow these steps to integrate the DigitalOcean MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from DigitalOcean

Why Use LlamaIndex with the DigitalOcean MCP Server

LlamaIndex provides unique advantages when paired with DigitalOcean through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine DigitalOcean tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain DigitalOcean tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query DigitalOcean, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what DigitalOcean tools were called, what data was returned, and how it influenced the final answer

DigitalOcean + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the DigitalOcean MCP Server delivers measurable value.

Hybrid search: combine DigitalOcean real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query DigitalOcean 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 DigitalOcean for fresh data

Analytical workflows: chain DigitalOcean queries with LlamaIndex's data connectors to build multi-source analytical reports

DigitalOcean MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect DigitalOcean to LlamaIndex via MCP:

get_account_metadata

Retrieve metadata and limits for your DigitalOcean account

get_droplet_details

Get detailed information for a specific Droplet

list_app_platform_services

List all applications deployed on DigitalOcean App Platform

list_block_storage_volumes

List all block storage volumes across your account

list_cloud_firewalls

List all cloud firewalls and their associated rules

list_cloud_projects

List all logical projects used to group resources

list_compute_droplets

List all compute instances (Droplets) in your DigitalOcean account

list_dns_domains

List all DNS domains managed in DigitalOcean

list_managed_databases

List all managed database clusters (Postgres, MySQL, Redis, etc.)

search_droplets_by_name

Search for a Droplet using a name keyword

Example Prompts for DigitalOcean in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with DigitalOcean immediately.

"List all active Droplets and their IP addresses."

"Show me our managed database clusters."

"What is the status of our App Platform services?"

Troubleshooting DigitalOcean MCP Server with LlamaIndex

Common issues when connecting DigitalOcean to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DigitalOcean + LlamaIndex FAQ

Common questions about integrating DigitalOcean MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query DigitalOcean tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.