How to Use the Equixly MCP in CrewAI
Deploy a collaborative crew of AI security agents to pentest and patch APIs using CrewAI and Equixly.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Equixly MCP to CrewAI
Create your Vinkius account to connect Equixly 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.
Coordinate Equixly scans across an agent crew
`trigger_scan` launches an autonomous pentest, allowing your CrewAI security team to divide and conquer the resulting findings. A QA agent can monitor the scan state using `get_scan`, while a specialized Security Analyst agent processes the exploit evidence. This division of labor prevents your pipeline from bottlenecking on security reviews, passing the scan ID from the launch phase to the analysis phase without human intervention.
Let agents manage your API attack surface
`upload_api_spec` feeds your CrewAI agents the exact blueprints of your API so they can maximize attack coverage. An Architect agent checks existing schemas with `list_api_specs` and uploads fresh OpenAPI or Postman files when changes are detected. This ensures your autonomous pentester targets every newly added route, avoiding wasted compute time testing dead endpoints or missing hidden parameters.
Audit and remediate vulnerabilities with the CrewAI MCP Server
`get_scan_findings` provides your CrewAI agents with detailed HTTP request and response evidence for every detected vulnerability. A Developer agent can read these findings, analyze the failing endpoint, and write a code patch to fix the underlying issue. Once the patch is merged, a Validator agent runs `trigger_scan` again to verify the fix and check `list_scans` to confirm the vulnerability no longer shows up.
Set up Equixly 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 Equixly tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Equixly Analyst",
goal="Access and analyze Equixly data via MCP.",
backstory="Expert analyst with direct Equixly access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Equixly 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="Equixly Analyst",
goal="Access and analyze Equixly data via MCP.",
backstory="Expert analyst with direct Equixly access.",
tools=mcp_tools,
)
task = Task(
description="List recent Equixly 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 Equixly. 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 Equixly MCP in CrewAI
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