How to Use the Decodo (Smartproxy) MCP in CrewAI
Deploy autonomous agent crews to manage and monitor your Decodo proxy network with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Decodo (Smartproxy) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Decodo (Smartproxy) tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Decodo (Smartproxy) Analyst",
goal="Access and analyze Decodo (Smartproxy) data via MCP.",
backstory="Expert analyst with direct Decodo (Smartproxy) access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Decodo (Smartproxy). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Decodo (Smartproxy) MCP in CrewAI
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