example-mcp-app-security
★ 25
vs
ADR
★ 2.1k
example-mcp-app-security vs ADR
example-mcp-app-security: This MCP App integrates interactive blue-team security operations, offering tools for alert triage, attack discovery, case management, and threat hunting. It renders rich React-based UIs inline within AI conversations, enhancing security analysis and response directly within AI hosts like Claude and VS Code.; ADR: ADR (Agentic Detection and Response) is an open-source framework designed to secure AI agents utilizing the Model Context Protocol (MCP). It comprises an ADR Sensor for telemetry collection and an ADR Detector, which serves as a dual-agent benchmark and detection system.
01
TL;DR
example-mcp-app-securitySecurity & Safety · ★ 25
Streamlining blue-team security operations within AI hosts.
ADRSecurity & Safety · ★ 2.1k
When to choose:
- You research detection for MCP-based agents and want to reproduce the MLSys 2026 ADR paper.
- You want a benchmark: ADR-Bench has 133 MCP servers and 303 tasks with baselines.
- You want to collect telemetry from Claude Code, Cursor and Codex into one schema with the sensor.
When to skip:
- You want a packaged product to deploy: this is research code for a paper.
- You want the ADR Explorer red-teaming engine: the README says it is not included.
- You cannot pay for Anthropic and OpenAI API calls: the default detector needs both.
02
Side-by-Side Comparison
Field
example-mcp-app-securityADRCategory
Security & Safety
Security & Safety
Stars
★ 25
★ 2.1k
License
NOASSERTION
Apache-2.0
Install Command
git clone https://github.com/elastic/example-mcp-app-security.git && cd example-mcp-app-security && npm install && npm run dev
git clone https://github.com/uber/ADR && cd ADR/Detection && uv sync
Updated
1w ago
4d ago
Open Source
Yes
Yes
Tags
Elastic Security, MCP App, Security Operations
AI Agent Security, Telemetry, Detection System
03
Features
example-mcp-app-security01Alert Triage: Fetch, filter, and triage security alerts with AI verdict cards, process tree, and network investigation.
02Attack Discovery: AI-powered correlated attack chain analysis with confidence scoring, entity risk, and MITRE mapping.
03Case Management: Create, search, and manage SOC investigation cases with AI-assisted actions.
04Detection Rules: Browse, tune, and manage detection rules with KQL search and noisy rules analysis.
ADR01ADR Sensor for collecting and normalizing agent telemetry.
02ADR Detector, a dual-agent detection system with 133 MCP servers and 303 benchmark tasks.
03Support for the Model Context Protocol (MCP) for securing AI agents.
04Provides a step-by-step workflow to reproduce benchmark detection and paper figures.
04
Use Cases
example-mcp-app-security↳Streamlining blue-team security operations within AI hosts.
↳Interactive security alert investigation and triage using AI.
↳Automated attack chain analysis and threat hunting.
↳Managing SOC investigation cases with AI assistance.
ADR↳Securing AI agents that use the Model Context Protocol (MCP).
↳Benchmarking and evaluating the security performance of agentic AI systems.
↳Collecting and analyzing telemetry data from various AI agent platforms.
↳Red-teaming and defensive security research for agentic AI.
05
Best For
example-mcp-app-security—
ADRTrending
FAQ
FAQ
What is the difference between example-mcp-app-security and ADR?
Both example-mcp-app-security and ADR are in the Security & Safety category. example-mcp-app-security has 25 stars, while ADR has 2.1k stars.
Which is better, example-mcp-app-security or ADR?
The best choice depends on your use case. Choose example-mcp-app-security if Streamlining blue-team security operations within AI hosts., and ADR if Securing AI agents that use the Model Context Protocol (MCP)..
Is example-mcp-app-security free or open source?
Yes, example-mcp-app-security is open source on GitHub (NOASSERTION).
Is ADR free or open source?
Yes, ADR is open source on GitHub (Apache-2.0).
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