How do I find my Halo Security API Key?

Log in to your Halo Security account, navigate to **Account Settings** and then to the **API** section. You will be able to generate and copy your unique API key from there.

Can I trigger a new scan through this integration?

Yes! Use the `trigger_scan` tool by providing the unique target ID of the asset you want to assess. Halo Security will initiate the scan immediately.

How are security issues categorized?

Issues are categorized by their severity (e.g., Critical, High, Medium, Low) and type (e.g., Vulnerability, Information, SSL Issue). You can use `list_issues` to see all findings.

Is it possible to add new domains to monitor?

Yes, the `add_target` tool allows you to add new domains or IP addresses to your security perimeter directly from the AI agent.

Halo Security MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Halo Security
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Halo 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 Halo Security "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Halo Security MCP Server

Connect your Halo Security platform to any AI agent and take full control of your attack surface and vulnerability management through natural conversation.

Pydantic AI validates every Halo Security tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Asset Monitoring — List and add targets (domains, IPs, apps) to your security perimeter.
Vulnerability Oversight — Access and inspect discovered security issues, severities, and remediation status.
Scan Management — Review scan history and trigger new on-demand security assessments.
Infrastructure Discovery — List open ports, SSL/TLS certificates, and detected technologies across your assets.
Security Trends — Retrieve risk scores and security trends to monitor your posture over time.
DNS Insights — Access DNS records discovered during the reconnaissance phase.

The Halo Security MCP Server exposes 11 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 Halo Security to Pydantic AI via MCP

Follow these steps to integrate the Halo 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 11 tools from Halo Security with type-safe schemas

Why Use Pydantic AI with the Halo Security MCP Server

Pydantic AI provides unique advantages when paired with Halo 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 Halo 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 Halo Security connection logic from agent behavior for testable, maintainable code

Halo Security + Pydantic AI Use Cases

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

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

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

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

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

Halo Security MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Halo Security to Pydantic AI via MCP:

add_target

Add a new target for security monitoring

get_issue

Get detailed information about a specific security issue

get_security_risk

Get overall security risk scores and trends

list_certificates

List SSL/TLS certificates and their status

list_dns_records

List DNS records discovered for monitored targets

list_issues

List all discovered security issues and vulnerabilities

list_open_ports

List all discovered open ports across targets

list_scans

List history of security scans

list_targets

List all monitored targets (assets)

list_technologies

List detected technologies and libraries on targets

trigger_scan

Trigger a new security scan for a target

Example Prompts for Halo Security in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Halo Security immediately.

"List all security issues with 'High' severity."

"Trigger a security scan for target ID 5592."

"Show me the risk score summary for our organization."

Troubleshooting Halo Security MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Halo Security + Pydantic AI FAQ

Common questions about integrating Halo 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 Halo Security MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.