Hackerdogs Open Sources the Largest Collection of Security MCP Servers to Accelerate AI-Native Cybersecurity
Pleasanton, CA – March 2026
Hackerdogs today announced the open sourcing of the industry's largest collection of Security MCP (Model Context Protocol) Servers, marking a major step toward standardizing how AI systems securely interact with cybersecurity tools and intelligence workflows.
Available now at:
https://github.com/hackerdogs-ai/hd-mcpservers-docker
This release provides a production-ready, Docker-based ecosystem of MCP servers designed to enable AI agents to safely and efficiently execute real-world cybersecurity tasks across domains such as:
- External Attack Surface Management (EASM)
- Open Source Intelligence (OSINT)
- Threat Intelligence Collection
- Vulnerability Analysis
- Cloud and Infrastructure Exposure Mapping
A Foundational Layer for AI-Native Security
As organizations increasingly rely on AI agents to reason, investigate, and act, the need for a standardized, secure interface between AI and tools becomes critical.
The Model Context Protocol (MCP) introduces a structured way for AI systems to:
- Discover tools
- Understand input/output schemas
- Execute actions safely
- Maintain traceability and context
Hackerdogs' MCP Server collection operationalizes this vision at scale.
What This Release Enables
1. Agent-Ready Security Tooling
Developers can instantly connect AI agents (CrewAI, LangChain, AutoGen, Claude, etc.) to real cybersecurity tools without custom integrations.
2. Standardized Execution Layer
Each MCP server exposes:
- Structured schemas
- Deterministic execution patterns
- Context-aware responses
This eliminates ambiguity in tool usage and reduces hallucination risks.
3. Composable Security Workflows
Security teams can chain MCP servers into multi-step workflows such as:
- Recon → Enumeration → Exposure Analysis → Risk Scoring
- Intelligence Collection → Correlation → Brief Generation
4. Production-Ready Deployment
With Docker-first packaging, teams can deploy hundreds of MCP servers as a scalable, stateless infrastructure layer.
Why This Matters
Traditional cybersecurity tooling was built for humans—dashboards, alerts, and manual workflows.
AI-native systems require something fundamentally different: machine-readable, composable, and secure interfaces for action.
This open-source release represents a shift from:
- Tools → Intelligence Systems
- Dashboards → Decision Engines
- APIs → Context-Aware Execution Layers
A Step Toward Autonomous Cyberdefense
Hackerdogs envisions a future where:
- AI agents continuously map attack surfaces
- Intelligence is generated in real time
- Decisions are made before threats materialize
MCP Servers form the backbone of this architecture.
Open Source Commitment
Hackerdogs is committed to building this ecosystem in the open to:
- Accelerate innovation across the security community
- Enable interoperability between AI systems and tools
- Reduce duplication of integration efforts
- Establish a shared standard for AI-driven security
About Hackerdogs
Hackerdogs is building an Autonomous Threat Exposure Management (ATEM) platform that acts as a Chief Intelligence Partner for organizations—delivering decision-grade intelligence ahead of threats.