How to Use the Wallarm MCP in CrewAI

Q: How does Wallarm help with vulnerability research for CrewAI?

The specialized agents work together: one searches using searchvulnerabilities and another uses getvulnerabilitydetails. This collaboration provides a complete picture of the security landscape.

Q: What kind of attack data can CrewAI analyze from Wallarm?

The crew can access granular details using searchsecurityhits (headers/payloads) or get high-level threat grouping via searchsecurityattacks. This informs the next steps in the autonomous operation.

Q: Can CrewAI manage API policy changes with Wallarm?

Yes. The action agent executes createipaclrule to modify IP access lists automatically. It's a core function for maintaining network integrity during autonomous operations.

Q: How does Wallarm provide API context for CrewAI?

The getdiscoveredapiinventory tool passively analyzes traffic and gives the crew an automatic, up-to-date inventory of all accessible APIs. This prevents blind spots in security coverage.

Run autonomous security operations: Collaborate on API defense using CrewAI and Wallarm.

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Connect Wallarm MCP to CrewAI

Create your Vinkius account to connect Wallarm 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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Setup Wallarm with CrewAI

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Collaboratively Find Vulnerabilities

One agent can research open flaws by calling `search_vulnerabilities`. Another specialized agent then analyzes the results, getting detailed data via `get_vulnerability_details`. The final action agent uses this info to report findings. If an issue is resolved, a separate agent updates the status using `update_vulnerability_status`.

Analyze Blocked Traffic and Attacks

The analysis agent can pull full context of blocked traffic by calling `search_security_hits`. This provides headers and payloads for deep investigation. The research agent uses `search_security_attacks` to gather high-level, grouped threat reports. This allows the crew to escalate a response based on observed attack vectors.

Enforce Network Boundaries

The action agent handles access control. It can use `create_ip_acl_rule` to enforce policies, adding IP ranges to the global allowlist or denylist. This is a critical step in autonomous security response. Before acting, the crew can verify existing rules using `list_ip_acl_rules`, ensuring no conflicts arise.

Setup guide

Set up Wallarm MCP in CrewAI

Prerequisites

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

1

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

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

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Wallarm Analyst",
        goal="Access and analyze Wallarm data via MCP.",
        backstory="Expert analyst with direct Wallarm access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wallarm. 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 Wallarm MCP in CrewAI

The specialized agents work together: one searches using `search_vulnerabilities` and another uses `get_vulnerability_details`. This collaboration provides a complete picture of the security landscape.

The crew can access granular details using `search_security_hits` (headers/payloads) or get high-level threat grouping via `search_security_attacks`. This informs the next steps in the autonomous operation.

Yes. The action agent executes `create_ip_acl_rule` to modify IP access lists automatically. It's a core function for maintaining network integrity during autonomous operations.

The `get_discovered_api_inventory` tool passively analyzes traffic and gives the crew an automatic, up-to-date inventory of all accessible APIs. This prevents blind spots in security coverage.

This MCP Server handles API traffic and security metadata across multiple dimensions: IP addresses, vulnerability IDs, request headers, payloads, and account subscription details.

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