Censys MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Censys through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"censys": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Censys Agent",
instructions:
"You help users interact with Censys " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Censys?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Censys tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Censys MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from Censys via MCP
Why Use Mastra AI with the Censys MCP Server
Mastra AI provides unique advantages when paired with Censys through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Censys without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Censys tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Censys + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Censys MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Censys, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Censys as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Censys on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Censys tools alongside other MCP servers
Censys MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Censys to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Censys to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCensys + Mastra AI FAQ
Common questions about integrating Censys MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.