Intruder MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Intruder through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Intruder "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Intruder?"
)
print(result.data)
asyncio.run(main())
* 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 Intruder MCP Server
Empower your AI agents to manage your cybersecurity posture with Intruder.io. This MCP server allows you to list security targets, track vulnerability scans, retrieve identified issues, and monitor cloud integrations directly through the Intruder API. Ideal for automating DevSecOps workflows and security auditing.
Pydantic AI validates every Intruder tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.
The Intruder 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 Intruder to Pydantic AI via MCP
Follow these steps to integrate the Intruder 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 Intruder with type-safe schemas
Why Use Pydantic AI with the Intruder MCP Server
Pydantic AI provides unique advantages when paired with Intruder 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 Intruder integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Intruder connection logic from agent behavior for testable, maintainable code
Intruder + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Intruder MCP Server delivers measurable value.
Type-safe data pipelines: query Intruder with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Intruder tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Intruder and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Intruder responses and write comprehensive agent tests
Intruder MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Intruder to Pydantic AI via MCP:
get_account
Use to verify identity and account settings. Gets your Intruder account details
get_issue
Returns detailed descriptions, remediation advice, and affected targets. Essential for investigating and fixing security flaws. Retrieves details for a specific issue
get_scan
Returns the list of targets included, scan duration, and a summary of findings. Use this to audit the results of a specific security assessment. Retrieves details for a specific scan
get_target
Returns metadata and associated tags. Use this to deep-dive into the security status of a specific asset. Retrieves details for a specific target
list_cloud_integrations
Essential for auditing how Intruder discovers new targets in the cloud infrastructure. Lists all configured cloud integrations (AWS, Azure, Google Cloud)
list_issues
Returns issue titles, severity levels (Low, Medium, High, Critical), and status. Use this as the primary tool for security posture auditing. Lists all identified vulnerability issues
list_licences
Useful for verifying subscription status and capacity. Lists all account licences
list_scans
Includes scan types, timestamps, and IDs. Essential for tracking scan frequency and monitoring ongoing security checks. Lists all vulnerability scans
list_targets
Returns target names, IDs, and types. Use this to identify which assets are being scanned for vulnerabilities. Lists all infrastructure and application targets
list_teams
Useful for understanding organizational access controls. Lists all organization teams
Example Prompts for Intruder in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Intruder immediately.
"List all active targets in my Intruder account."
"Show me the latest vulnerability issues found."
"Check the status of my recent scans."
Troubleshooting Intruder MCP Server with Pydantic AI
Common issues when connecting Intruder to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiIntruder + Pydantic AI FAQ
Common questions about integrating Intruder MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Intruder with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Intruder to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.