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Vinkius

Shodan MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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 Shodan "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
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About Shodan MCP Server

Connect to Shodan, the world's first search engine for internet-connected devices, and explore the digital landscape through natural conversation.

Pydantic AI validates every Shodan 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

  • Device Search — Find internet-connected devices by product, OS, port, country, vulnerability and more
  • Host Lookup — Get comprehensive info on any IP: open ports, services, banners, location and vulnerabilities
  • DNS Lookup — Resolve hostnames to IPs and reverse DNS lookups
  • Port Discovery — See which ports Shodan actively scans across the internet
  • Account Info — Check your remaining query credits and API plan details

The Shodan 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 Shodan to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Shodan with type-safe schemas

Why Use Pydantic AI with the Shodan MCP Server

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

01

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

02

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

03

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

04

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

Shodan + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Shodan MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Shodan to Pydantic AI via MCP:

01

dns_resolve

Returns a mapping of hostname to IP. Supports comma-separated hostnames. Useful for DNS lookups without leaving the terminal. Resolve hostnames to IP addresses

02

get_account_info

Useful for checking your remaining usage limits. Get Shodan account information

03

get_api_info

Useful for monitoring API usage limits. Get API plan information

04

get_facets

g. country, org, port, os, product). Useful for building advanced search queries with faceted analysis. Get available search facets for result aggregation

05

get_host_count

Useful for checking how many devices match a filter before running a full search. Get total number of results for a search query

06

get_host_info

Returns all open ports, hostnames, geographic location, AS/org info, operating system and service banners for every open port. Includes vulnerability data if available. This is the most detailed view of a single host. Get detailed info for a specific IP address

07

get_my_ip

Useful for identifying your external IP for firewall rules, access control and debugging. Get your current external IP address

08

get_ports

Useful for understanding which ports are monitored and for reference when building search queries. Get a list of ports that Shod is scanning

09

reverse_dns

Returns a mapping of IP to hostname(s). Supports comma-separated IPs. Useful for reverse DNS lookups. Resolve IP addresses to hostnames

10

search_hosts

Supports powerful filters: product name (e.g. "nginx", "apache"), OS (e.g. "Windows", "Linux"), port (e.g. "port:80"), country (e.g. "country:US"), city, org, hostname, vulnerability (e.g. "vuln:CVE-2021-44228"), and many more. Returns matching hosts with IP, port, product, OS, location and banners. Pagination with page parameter. Use get_host for full details on a specific IP. Search Shodan for internet-connected devices

Example Prompts for Shodan in Pydantic AI

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

01

"Search for nginx servers in Brazil."

02

"Look up info for IP 8.8.8.8."

03

"Resolve google.com and github.com to IPs."

Troubleshooting Shodan MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Shodan + Pydantic AI FAQ

Common questions about integrating Shodan MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Shodan to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.