Censys MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Censys through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"censys": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Censys, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Censys through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Censys MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Censys via MCP
Why Use LangChain with the Censys MCP Server
LangChain provides unique advantages when paired with Censys through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Censys MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Censys queries for multi-turn workflows
Censys + LangChain Use Cases
Practical scenarios where LangChain combined with the Censys MCP Server delivers measurable value.
RAG with live data: combine Censys tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Censys, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Censys tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Censys tool call, measure latency, and optimize your agent's performance
Censys MCP Tools for LangChain (9)
These 9 tools become available when you connect Censys to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Censys to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCensys + LangChain FAQ
Common questions about integrating Censys MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.