Bring Penetration Testing
to Pydantic AI
Learn how to connect Beagle Security to Pydantic AI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Beagle Security MCP Server?
Connect your Beagle Security account to any AI agent and take full control of your automated cybersecurity audits and web application penetration testing through natural conversation.
What you can do
- Pentest Orchestration — Programmatically trigger high-fidelity penetration tests for your configured web applications and APIs directly through your agent
- Real-Time Monitoring — Monitor the progress and status of active security tests and retrieve real-time alerts for identified threats
- Vulnerability Intelligence — Access complete high-fidelity vulnerability reports in JSON format and retrieve detailed metadata for every security session
- Application Architecture — List and manage your directory of security projects and applications to maintain a perfectly coordinated audit infrastructure
- Audit Compliance — Access historical records of all past test results and monitor currently running tests to ensure constant security oversight
How it works
- Subscribe to this server
- Retrieve your Access Token (User Settings) and Application Token (Project Settings) from the Beagle Security dashboard
- Start orchestrating your cybersecurity defenses from Claude, Cursor, or any MCP client
No more manual toggling between security scanners or digging through fragmented audit reports. Your AI acts as your dedicated security engineer and penetration testing coordinator.
Who is this for?
- Security Engineers — instantly trigger regression tests and analyze vulnerability patterns using natural language commands
- DevOps Teams — verify application security after a deployment and monitor API health without leaving your workspace
- CISOs & IT Leads — automate the oversight of organization-wide security posture through simple AI queries
Built-in capabilities (9)
Get details of the current application
List all currently running tests
Get full test result (JSON)
List all test sessions
Get current test status
List all applications
List all security projects
Start a new security test
Stop a running security test
Why Pydantic AI?
Pydantic AI validates every Beagle Security tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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.
- —
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 in Pydantic AI
Beagle Security and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Beagle Security to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Beagle Security in Pydantic AI
The Beagle Security 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Beagle Security for Pydantic AI
Every tool call from Pydantic AI to the Beagle Security MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Beagle Access and Application Tokens?
Log in to Beagle Security. find the Access Token in your profile/user settings, and the Application Token in the settings of the specific project you want to test.
Can I stop a running test via AI?
Yes! The stop_test tool allows your agent to immediately terminate an active penetration test for the configured application.
How do I retrieve the vulnerability report?
First use get_test_sessions to identify the test's resultToken, then pass that token to get_test_result to retrieve the high-fidelity JSON report.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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