ADR MCP Server
uber/ADR
[](https://agentrank-ai.com/tool/uber--ADR/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
uber/ADR is a Python tool licensed under Apache-2.0. ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. Topics: agent-security, ai-agents, ai-security, benchmark, llm-security, mcp, model-context-protocol, prompt-injection, threat-detection, claude, claude-code, codex, cursor.
Ranked #1921 out of 24846 indexed tools.
In the top 8% of all indexed tools.
Has 2,020 GitHub stars.
Has 18 contributors.
Ecosystem
Score Breakdown
2,020 stars → well-known project
Last commit 29d ago → recently updated
16/32 issues closed → decent issue management
18 contributors → active community
No dependents → no downstream usage
589 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# ADR: Agentic AI Detection and Response ADR (Agentic AI Detection and Response) is an enterprise security system for AI agents. It helps organizations secure employee-facing agents such as Cursor, Claude Code, Codex, GitHub Copilot CLI, and DeepSeek Harness, as well as customer-facing agents such as AI support agents. ADR is **deployed in production at Uber**, and the accompanying paper was accepted to **MLSys 2026**: [Paper PDF](docs/adr-paper.pdf) · [Slides PDF](docs/adr-mlsys-2026-slides.pdf) ## How ADR secures enterprise AI agents ADR secures enterprise AI agents through five complementary capabilities: discovering unsanctioned AI tools, observing agent activity, evaluating defenses, detecting threats, and preventing unsafe actions. 1. **ADR Discovery: Find the AI tools present on employee endpoints.** Inventories installed AI applications, CLI agents, IDE extensions, local model runtimes, and MCP servers, and flags unknown surfaces for review. 2. **ADR Observability: UnderstRead full README on GitHub →
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