Censys MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Censys 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 Censys "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Censys?"
)
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 Censys MCP Server
Connect to Censys and explore the world's largest internet scanning platform through natural conversation.
Pydantic AI validates every Censys tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Host Search — Search internet-facing hosts by service, port, OS, location and more
- Host Details — Get comprehensive info on any IP including all services and certificates
- Host History — View how a host's services and ports have changed over time
- Certificate Search — Find SSL/TLS certificates by issuer, subject, validity and more
- Certificate Details — Get full parsed certificate data by fingerprint
- Certificate Hosts — Find all hosts using a specific certificate
- Aggregation — Analyze distributions of services, countries and ASNs
- Host Diff — Compare two hosts to identify infrastructure differences
The Censys MCP Server exposes 9 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 Censys to Pydantic AI via MCP
Follow these steps to integrate the Censys 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 9 tools from Censys with type-safe schemas
Why Use Pydantic AI with the Censys MCP Server
Pydantic AI provides unique advantages when paired with Censys 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 Censys integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Censys connection logic from agent behavior for testable, maintainable code
Censys + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Censys MCP Server delivers measurable value.
Type-safe data pipelines: query Censys with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Censys tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Censys and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Censys responses and write comprehensive agent tests
Censys MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Censys to Pydantic AI via MCP:
aggregate_hosts
Groups results by a specified field (e.g. "services.port", "location.country", "autonomous_system.name") and returns bucket counts. Useful for understanding the distribution of services, countries or ASNs matching a query. Aggregate host search results by a specific field
get_account_info
Useful for checking remaining API quota and account limits. Get your Censys account information
get_certificate
Returns the full parsed certificate including subject, issuer, validity, key info, extensions, CT logs and raw PEM data. Get detailed info for a specific certificate by fingerprint
get_certificate_hosts
Useful for finding all domains sharing a certificate (SANs). Returns IP addresses, ports and timestamps. Pagination via cursor. Get hosts using a specific certificate
get_host
Returns all open ports, service banners, TLS certificates, operating system detection, geolocation, autonomous system info and last updated timestamps. Get detailed info for a specific IP address
get_host_history
Shows how the host's services, ports and certificates have changed over time. Returns timestamps, services observed and changes detected. Pagination via cursor. Get historical scan data for a specific IP
search_certificates
Supports query syntax: issuer names, subject fields, serial numbers, validity dates, key algorithms, certificate transparency logs and more. Returns fingerprints, subjects, issuers, validity periods and key info. Search for SSL/TLS certificates
search_hosts
Supports powerful query syntax: service names (e.g. "nginx"), ports (e.g. "services.port:443"), protocols, operating systems, autonomous systems, geographic locations and more. Returns IP addresses, open ports, services, banners and locations. Pagination via cursor. Search for internet-connected hosts
view_host_diff
Useful for identifying changes between hosts or finding similar infrastructure. Compare two hosts to see differences
Example Prompts for Censys in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Censys immediately.
"Find all nginx servers in Brazil."
"Get details for IP 8.8.8.8."
"Find certificates issued by Let's Encrypt expiring this month."
Troubleshooting Censys MCP Server with Pydantic AI
Common issues when connecting Censys to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCensys + Pydantic AI FAQ
Common questions about integrating Censys 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 Censys 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 Censys to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.