How to Use the Veracode MCP in CrewAI

Q: Does Veracode support listing apps in CrewAI?

Absolutely. The listapplications tool provides all necessary global GUIDs for a comprehensive inventory. This is the starting point for any large-scale, multi-agent assessment.

Q: What kind of data privacy considerations exist with Veracode and CrewAI?

This server primarily touches metadata related to application profile status, such as risk scores, deployment state, and the list of security findings. The agent's role is reporting on these structured records.

Build autonomous AppSec operations with Veracode using CrewAI agents.

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Connect Veracode MCP to CrewAI

Create your Vinkius account to connect Veracode 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 Veracode with CrewAI

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Autonomous Application Inventory Check

A specialized Researcher Agent can use the `list_applications` tool to pull all structural entities, grabbing their unique GUIDs. This list serves as the input for a Monitoring Agent that then runs `get_application_details`. The agent team reports back on every app's business criticality and deployment state. If an application is flagged with a low risk score, the Moderator Agent can automatically skip further checks, saving computation time.

Specialized Vulnerability Analysis

An Analyst Agent handles specific flaw investigation using `get_finding_details`. It pulls detailed data—the CWE type, affected source file, and code path—and formats it for the team. This allows your autonomous operation to provide immediate, highly technical reports. Furthermore, an Auditor Agent can pull all security findings via `list_security_findings` and cross-reference them with current DAST scans listed by `list_dynamic_analyses`.

Managing Security Resources

You don't need a human to set up the environment. An Orchestrator Agent can use `create_application`, establishing a new Veracode profile container based on your defined schema. It then reports success. If an app is compromised or deprecated, the team can execute `delete_application` after verification, ensuring the process is fully documented and automated.

Setup guide

Set up Veracode 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 Veracode tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Veracode 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="Veracode Analyst",
        goal="Access and analyze Veracode data via MCP.",
        backstory="Expert analyst with direct Veracode access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Veracode 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 Veracode. 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 Veracode MCP in CrewAI

CrewAI assigns specialized roles to different agents. One agent might run `list_applications` while another analyzes the results using `get_application_details`. The crew collaborates on a single security task, passing memory between steps.

Yes. A dedicated agent can manage app lifecycles. It executes the necessary checks using `get_application_details` and then performs permanent removal via `delete_application`, all within a controlled, multi-step process.

The server manages application profiles, security findings, and user roles. You'll deal with details like the CWE type, risk scores, and compliance policy status across your autonomous operations.

Absolutely. The `list_applications` tool provides all necessary global GUIDs for a comprehensive inventory. This is the starting point for any large-scale, multi-agent assessment.

This server primarily touches metadata related to `application profile status`, such as risk scores, deployment state, and the list of security findings. The agent's role is reporting on these structured records.

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