How to Use the Anura MCP in CrewAI
Deploy a team of autonomous security agents using CrewAI to monitor Anura ad fraud systems.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Anura MCP to CrewAI
Create your Vinkius account to connect Anura 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.
Multi-Agent Security Monitoring
The `get_system_status` tool allows your CrewAI security team to monitor your ad fraud detection pipeline autonomously. A dedicated monitor agent can run this tool to check the status of the Anura API, while a separate moderator agent takes action if an outage is detected. This division of labor keeps your operations running without human intervention. The agents share memory and context, allowing them to coordinate complex responses when fraud checks are compromised.
Granular Tool Filtering with CrewAI
When setting up your CrewAI agents, you can use `MCPServerHTTP` and `tool_filter` to restrict which agents can access the `get_system_status` tool. This ensures only your specialized security agent can query the MCP Server, keeping your operational boundaries clean. Restricting tool access prevents unrelated agents from wasting execution tokens on system checks. Your workflow remains highly optimized because only the designated monitor agent handles the API communication.
Autonomous Escalation Protocols
If the `get_system_status` tool reports that the Anura platform is unreachable, your CrewAI agents can trigger a hierarchical escalation. The monitoring agent passes the failure log to an admin agent, which can autonomously redirect your ad spend to safe channels. This level of automation protects your ad budget from click bots during unexpected outages. Your agents work in tandem to mitigate risks before your team even notices the connection drop.
Set up Anura 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 Anura tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Anura Analyst",
goal="Access and analyze Anura data via MCP.",
backstory="Expert analyst with direct Anura access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Anura 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="Anura Analyst",
goal="Access and analyze Anura data via MCP.",
backstory="Expert analyst with direct Anura access.",
tools=mcp_tools,
)
task = Task(
description="List recent Anura 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 Anura. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Anura MCP in CrewAI
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