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How to Use the Decodo (Smartproxy) MCP in CrewAI

Deploy autonomous agent crews to manage and monitor your Decodo proxy network with CrewAI.

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Connect Decodo (Smartproxy) MCP to CrewAI

Create your Vinkius account to connect Decodo (Smartproxy) to CrewAI 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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Autonomous Proxy Monitoring Crew

This MCP server lets you build a team of CrewAI agents to manage your Decodo infrastructure. Forget manual checks. You can assign one agent to watch for problems and another to investigate them. For example, a 'Monitor Agent' could run `get_traffic_usage` on a schedule. If it spots an anomaly, it passes the data to an 'Analyst Agent' that uses `get_scraper_stats` and `list_sub_users` to pinpoint the cause. That's how autonomous operations get done.

Role-Based Proxy Management

With CrewAI, you can create specialized agents for different Decodo tasks. A 'Configuration Agent' could be responsible for fetching proxy lists, while a 'Billing Agent' only has access to subscription and account details. You'd give the Config Agent access to tools like `list_residential_proxies` and `list_datacenter_proxies`. The Billing Agent would only get `list_subscriptions` and `get_account_details`. This role-based separation makes your autonomous system more organized and secure.

MCP Tools for your CrewAI Agents

This server makes your Decodo tools available to any agent in your crew. Instead of writing custom API wrappers, you just give the agent the tool name. It simplifies building specialized agents that can act on your proxy network. For example, a 'Reporting Agent' can be tasked with calling `get_account_details` and `list_subscriptions` to compile a daily summary. The agent just knows the tool's purpose; CrewAI and the MCP server handle the execution details.

Setup guide

Set up Decodo (Smartproxy) MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Decodo (Smartproxy) tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Decodo (Smartproxy) Analyst",
    goal="Access and analyze Decodo (Smartproxy) data via MCP.",
    backstory="Expert analyst with direct Decodo (Smartproxy) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Decodo (Smartproxy) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Decodo (Smartproxy) MCP in CrewAI

Each agent in your crew can be given a specific set of tools from this MCP server. For example, one agent uses `get_traffic_usage` to monitor, and if it finds something, it passes its findings to another agent that uses `list_sub_users` to investigate.
Yes. You can design a crew where one agent monitors bandwidth, another analyzes scraper performance, and a third compiles reports. By chaining them in a sequential process, they can manage your Decodo account without human intervention.
Yes, that's a core feature. When defining your agent, you can use the `tool_filter` option to specify exactly which tools it can access, like only giving `get_scraper_stats` to your analyst agent. This is key for creating specialized roles.
It's straightforward. After `pip install crewai`, you can pass your Vinkius MCP server URL directly into the `mcps` list when creating an Agent. CrewAI handles the connection and tool discovery.
The connection only exposes your Decodo proxy configurations, usage metrics, and subscription details. Each request from your CrewAI agents is handled in a dedicated, single-use V8 isolate on Vinkius. Your API token is the key, and no session data persists.

Start using the Decodo (Smartproxy) MCP today

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