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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Beagle Security
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Beagle Security through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Beagle Security "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Beagle Security?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Beagle Security tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Beagle Security with type-safe schemas

Why Use Pydantic AI with the Beagle Security MCP Server

Pydantic AI provides unique advantages when paired with Beagle Security through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Beagle Security integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Beagle Security connection logic from agent behavior for testable, maintainable code

Beagle Security + Pydantic AI Use Cases

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

Type-safe data pipelines: query Beagle Security with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Beagle Security tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Beagle Security and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Beagle Security responses and write comprehensive agent tests

Beagle Security MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Beagle Security to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Beagle Security + Pydantic AI FAQ

Common questions about integrating Beagle Security MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Beagle Security MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.