Censys MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Censys as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Censys. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Censys?"
)
print(response)
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.
LlamaIndex agents combine Censys tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Censys MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Censys MCP Server
LlamaIndex provides unique advantages when paired with Censys through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Censys tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Censys tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Censys, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Censys tools were called, what data was returned, and how it influenced the final answer
Censys + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Censys MCP Server delivers measurable value.
Hybrid search: combine Censys real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Censys to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Censys for fresh data
Analytical workflows: chain Censys queries with LlamaIndex's data connectors to build multi-source analytical reports
Censys MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Censys to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Censys to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCensys + LlamaIndex FAQ
Common questions about integrating Censys MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.