Can I start a security test for a specific application from the agent?

Yes! Use the `start_test` action with your application's token. Your agent will trigger the penetration test in your Beagle Security account immediately.

How do I check if a running security test has finished?

Simply ask the agent to `get_test_status` with the Test ID. It will return the current phase of the test and its completion status.

Does the integration show me the details of found vulnerabilities?

Yes. Once a test is finished, you can use `get_vulnerabilities` or `get_test_results` to retrieve a list of findings, including severity and descriptions.

Beagle Security MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Beagle Security
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Beagle Security through Vinkius, pass the Edge URL in the `mcps` parameter and every Beagle Security tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Beagle Security Specialist",
    goal="Help users interact with Beagle Security effectively",
    backstory=(
        "You are an expert at leveraging Beagle Security tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Beagle Security "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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60%Token savings

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Beagle Security MCP Server

Connect your Beagle Security account to any AI agent and integrate automated penetration testing into your development workflow through natural conversation.

When paired with CrewAI, Beagle Security becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Beagle Security tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Project Oversight — List and manage all security projects and target applications.
On-Demand Testing — Trigger new security tests for your applications instantly.
Status Monitoring — Check the real-time progress of ongoing security assessments.
Vulnerability Retrieval — Access detailed results and lists of vulnerabilities found during tests.
Compliance & Auditing — Retrieve account profiles and test histories for compliance reporting.

The Beagle Security MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Beagle Security to CrewAI via MCP

Follow these steps to integrate the Beagle Security MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Beagle Security

Why Use CrewAI with the Beagle Security MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Beagle Security through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Beagle Security + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Beagle Security MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Beagle Security for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Beagle Security, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Beagle Security tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Beagle Security against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Beagle Security MCP Tools for CrewAI (10)

These 10 tools become available when you connect Beagle Security to CrewAI via MCP:

get_application_details

Get details of an application

get_project_details

Get details of a specific project

get_test_results

Retrieve security test results

get_test_status

Check status of a security test

get_user_profile

Get Beagle account profile

get_vulnerabilities

List vulnerabilities for a test

list_applications

List security applications

list_projects

List Beagle Security projects

start_test

Start a new security test

stop_test

Stop an active security test

Example Prompts for Beagle Security in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Beagle Security immediately.

"List all my current security projects on Beagle."

"Start a new security test for application token app_998877."

"Show me the findings from the last test test_554433."

Troubleshooting Beagle Security MCP Server with CrewAI

Common issues when connecting Beagle Security to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Beagle Security + CrewAI FAQ

Common questions about integrating Beagle Security MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.