MCP SERVER FOR AI
The MCP Advantage: Intelligence Built for AI Agents.
Most AI agents can reason.
Few can see.
Team Cymru's MCP Server connects AI agents directly to Pure Signal™ — real-time infrastructure intelligence built for investigation, not retrieval.
Purpose-built for the agentic era. Production-ready today.

PROVEN AT SCALE
Trusted in the most high-stakes environments.
300B+
Daily internet connections observed
50+
Data types fused into a single MCP interface
1,300+
Data sharing partners powering Pure Signal™
FIRST
MCP server purpose-built for threat investigation
THE LIMITATION
AI agents can reason.
They can't see.
AI agents are now central to security operations — triaging alerts, enriching investigations, and executing response workflows
But most depend on APIs and data pipelines that were never built for AI consumption.
The result:
Tokens spent parsing raw data before reasoning begins
Context fractured across disconnected intelligence sources
Investigations that still require manual enrichment
Workflows that break the moment scale increases
AI doesn't fail at reasoning. It fails at access — the right data, in the right format, at the right time.
WHAT IS AN MCP SERVER FOR AI
Model Context Protocol (MCP)
standardizes how AI agents connect to external systems and intelligence sources.
Instead of stitching together APIs, agents query a single interface that returns structured, context-aware responses —
optimized for reasoning, not parsing.
This shifts how intelligence is consumed:
Analyst-driven workflows → agent-driven execution
Raw data retrieval → contextual investigation
Reactive enrichment → proactive infrastructure mapping
IP & Domain Intelligence
Real-time scoring + behavioral context
NetFlow
IP-to-IP communication patterns
Passive DNS
Historical resolution data
X.509 Certificates
Shared infrastructure attribution
WHOIS Intelligence
Registration data with pivoting capability
Scout Query Language
Execute advanced queries through agents
CONNECTIVITY
Most security teams already have intelligence pipelines in place — SIEMs, TIPs, threat feeds, internal data lakes. Connecting AI agents to those systems is where most efforts stall.
Team Cymru's MCP server resolves this. A single, standardized interface lets you connect AI agents to existing data sources without custom integration logic or excessive parsing.
Agents query, pivot, and investigate in real time — across the data you already trust.
STANDARD MCP VS PURE SIGNAL™ MCP
STANDARD MCP SERVERS
Connect AI agents to existing APIs
High token usage for parsing
Return raw or loosely structured data
Limited context across datasets
Require additional logic to produce usable intelligence
Accessible is the floor.
Usable is the bar.
WHY IT MATTERS
Structured responses preserve tokens for reasoning, not parsing. Every query returns context-shaped output an LLM can act on directly — no preprocessing layer required.
Optimized response schemas
Reasoning-grade context per call
Lower cost per investigation
NetFlow, PDNS, x.509, WHOIS, and IP/domain intelligence fused into a single agent-callable interface. One interface. One query. Full context.
50+ data types in one surface
Cross-dataset pivots in real time
No custom orchestration
Investigation-Grade Output
Designed for follow-on queries, not single lookups. Agents can pivot from indicator to infrastructure to actor without leaving the interface.
Native pivot capability
Built for multi-step reasoning
Real-time, not cached
REAL-WORLD APPLICATION
Enrich alerts with real-time infrastructure context. Agents resolve indicators against global telemetry the moment a SIEM event fires.
Let AI agents pivot across NetFlow, PDNS, and certificate data to map adversary infrastructure end-to-end — without analyst handoff.
Surface relationships between domains, IPs, certificates, and registration data automatically.
Agents return a graph, not a list.
Drop investigation-grade intelligence directly into SOAR playbooks. Decisions get made on context, not on raw indicators.
Increase analyst capacity without increasing headcount. One agent, the same Pure Signal™ data, applied across every customer environment.
AI AGENT MATURITY
1
Analyst-driven investigation. AI assists drafting, not investigation.
2
Agents call individual APIs. Fragmented context, high token cost.
3
Single-source MCP. Connected, but limited investigative depth.
4
Multiple MCPs stitched together. Better context, brittle integration.
5
Pure Signal™ MCP. Cross-dataset, real-time, structured for reasoning.
The gap between
stage 2 and stage 5
is where investigation actually happens.
BUILT FOR REAL ENVIRONMENTS
The Team Cymru MCP server is already deployed in enterprise environments and built for the realities of security operations.
Compatible with any MCP-enabled AI system
Engineered for token efficiency and structured response schemas
Authentication, governance, and usage visibility built in
Built on the same Pure Signal™ infrastructure that processes 300B+ daily internet connections from 1,300+ data sharing partners
WORKS WITH YOUR AI STACK
Connect agents from any MCP-enabled AI system. Pre-built integrations for the platforms your team already uses — setup takes minutes, not sprints.
Claude Code
Anthropic CLI for devs
Claude Desktop
Anthropic desktop app
ChatGPT
OpenAI chat UI connector
OpenAI SDK (cURL)
HTTP request via curl
OpenAI SDK (Python)
openai Python package
Gemini CLI
Google Gemini command line
Cursor
AI-native code editor
Codex CLI
OpenAI Codex command line
Codex (TOML)
Codex config file
Perplexity
Perplexity AI
COMING SOON
Don't see your tool?
The MCP server is compatible with any MCP-enabled AI system — ours is built to spec.
Activation takes minutes, not sprints.
No new contracts. No custom integrations.
Agents start querying real intelligence the same day.
Activate Your Agents
Free trial for active
Pure Signal™ Scout
customers.
Not on Scout yet?
Talk to our team