SecurityTrails 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 SecurityTrails 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 SecurityTrails "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in SecurityTrails?"
)
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 SecurityTrails MCP Server
Connect your SecurityTrails account to any AI agent and empower your OSINT, bug bounty, and threat intelligence workflows with the world's most comprehensive domain and IP database.
Pydantic AI validates every SecurityTrails 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.
What you can do
- Attack Surface Mapping — Instantly enumerate all subdomains for any target organization to map their external footprint
- Historical DNS Analysis — Look back in time at DNS records (A, MX, NS, TXT) to find hidden infrastructure, bypassed firewalls, or legacy systems
- Reverse IP Lookups — Find all domains hosted on a specific IP address to identify shared hosting or related corporate assets
- Advanced Threat Hunting — Use the SecurityTrails DSL (Domain Specific Language) to query the entire internet for specific tech stacks or vulnerable infrastructure
- Ownership Intelligence — Access current and historical WHOIS records to track domain ownership changes and unmask hidden threat actors
- Corporate Associations — Discover domains strongly associated with your primary target to expand your investigation scope
The SecurityTrails 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 SecurityTrails to Pydantic AI via MCP
Follow these steps to integrate the SecurityTrails 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 SecurityTrails with type-safe schemas
Why Use Pydantic AI with the SecurityTrails MCP Server
Pydantic AI provides unique advantages when paired with SecurityTrails 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 SecurityTrails integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SecurityTrails connection logic from agent behavior for testable, maintainable code
SecurityTrails + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SecurityTrails MCP Server delivers measurable value.
Type-safe data pipelines: query SecurityTrails with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SecurityTrails tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SecurityTrails and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SecurityTrails responses and write comprehensive agent tests
SecurityTrails MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect SecurityTrails to Pydantic AI via MCP:
get_api_usage
Check current SecurityTrails API quota usage
get_associated_domains
Great for expanding the scope of an investigation. Find other domains associated with a target domain
get_dns_history
Useful for finding old IPs that might still be hosting vulnerable software, or tracking infrastructure migration over time. Retrieve historical DNS records for a domain
get_domain_details
Essential for mapping out a target domain's existing infrastructure. Get complete domain intelligence and current DNS records
get_domain_tags
Get classification tags for a domain
get_domains_by_ip
Essential for understanding shared hosting environments or identifying hidden vhosts. Find all domains pointed to a specific IP address
get_subdomains
Critical for attack surface mapping and asset discovery. Returns both active and inactive subdomains. Discover all subdomains for a given domain
get_whois
Get current WHOIS information for a domain
get_whois_history
Useful for OSINT investigations to uncover historical owners before privacy protection was enabled. Retrieve historical WHOIS records for a domain
search_dsl
Examples: `ipv4="1.1.1.1" AND mx="alt1.aspmx.l.google.com"` or `whois_email="admin@example.com"`. Check SecurityTrails docs for full DSL syntax. Advanced search using SecurityTrails DSL
Example Prompts for SecurityTrails in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with SecurityTrails immediately.
"Find all subdomains for tesla.com."
"Check the historical 'A' records for example.com. Were there any changes in 2021?"
"What domains are hosted on the IP 8.8.8.8?"
Troubleshooting SecurityTrails MCP Server with Pydantic AI
Common issues when connecting SecurityTrails to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSecurityTrails + Pydantic AI FAQ
Common questions about integrating SecurityTrails 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 SecurityTrails 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 SecurityTrails to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.