Vultr MCP Server for CrewAIGive CrewAI instant access to 19 tools to Create Api Key, Create Bare Metal, Delete Bare Metal, and more

Name: Vultr
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Vultr through Vinkius, pass the Edge URL in the `mcps` parameter and every Vultr tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Vultr MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Vultr Specialist",
    goal="Help users interact with Vultr effectively",
    backstory=(
        "You are an expert at leveraging Vultr tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Vultr "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 19 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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IAMAccess control

EU AI ActCompliant

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V8 IsolateSandboxed

Ed25519Audit chain

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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 Vultr MCP Server

Connect your Vultr account to any AI agent to manage your cloud infrastructure through natural conversation.

When paired with CrewAI, Vultr becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Vultr tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Bare Metal Management — List, create, start, reboot, and delete physical hardware instances across global regions.
Account & Networking — Retrieve account info, billing status, BGP configurations, and manage IPv4/IPv6 reverse DNS settings.
Backups & Apps — List automated backups and browse the Vultr Marketplace for one-click application deployments.
API Key Control — List and create API keys to manage access levels for your infrastructure programmatically.
Instance Lifecycle — Perform critical operations like reinstalling or halting bare metal servers directly from your chat interface.

The Vultr MCP Server exposes 19 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 Vultr tools available for CrewAI

When CrewAI connects to Vultr through Vinkius, your AI agent gets direct access to every tool listed below — spanning vultr, bare-metal, cloud-hosting, 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.

create

Create api key on Vultr

Create a new API key

create

Create bare metal on Vultr

Create a bare metal instance

delete

Delete bare metal on Vultr

Delete a bare metal instance

get

Get account on Vultr

Get Vultr account info

get

Get account bgp on Vultr

Get Account BGP Info

get

Get backup on Vultr

Get a specific backup

get

Get bare metal ipv4 on Vultr

Get IPv4 info for a bare metal instance

get

Get bare metal ipv6 on Vultr

Get IPv6 info for a bare metal instance

halt

Halt bare metal on Vultr

Halt a bare metal instance

list

List api keys on Vultr

List API keys

list

List applications on Vultr

List Vultr applications

list

List backups on Vultr

List backups

list

List bare metals on Vultr

List bare metal instances

reboot

Reboot bare metal on Vultr

Reboot a bare metal instance

reinstall

Reinstall bare metal on Vultr

Reinstall a bare metal instance

set

Set bare metal ipv4 reverse on Vultr

Set Reverse DNS for IPv4 on a bare metal instance

set

Set bare metal ipv6 reverse on Vultr

Set Reverse DNS for IPv6 on a bare metal instance

setup

Setup bgp on Vultr

Setup BGP for the account

start

Start bare metal on Vultr

Start a bare metal instance

Connect Vultr to CrewAI via MCP

Follow these steps to wire Vultr into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 19 tools from Vultr

Why Use CrewAI with the Vultr MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Vultr through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Vultr + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Vultr MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Vultr for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Vultr, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Vultr tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Vultr against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Vultr in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Vultr immediately.

"List all my bare metal instances."

"Show my Vultr account and billing information."

"What marketplace applications are available for deployment?"

Troubleshooting Vultr MCP Server with CrewAI

Common issues when connecting Vultr to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Vultr + CrewAI FAQ

Common questions about integrating Vultr MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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