Google PageRank for AI agents. 25,000+ tools indexed.

Adrian MCP Server

secureagentics/Adrian

Score: 74.3 ↓ 4.7% Rank #3243 Monitoring
[![AgentRank](https://agentrank-ai.com/api/v1/badge/secureagentics--Adrian)](https://agentrank-ai.com/tool/secureagentics--Adrian/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of secureagentics/Adrian? Claim this listing →

Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.

Add AgentRank to Claude Code Discover and compare tools like secureagentics/Adrian — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

secureagentics/Adrian is a Python tool licensed under Apache-2.0. Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts. Topics: agent-security, agents, ai, ai-governance, ai-security, langchain, langgraph, llm-security, mcp, observability, prompt-injection, runtime-security, threat-detection, aarm, agentic-ai, agentic-security, ai-agents, mcp-security, self-hosted, openai-agents.

Ranked #3243 out of 24846 indexed tools.

Has 10 contributors.

Ecosystem

Python Apache-2.0
agent-securityagentsaiai-governanceai-securitylangchainlanggraphllm-securitymcpobservabilityprompt-injectionruntime-securitythreat-detectionaarmagentic-aiagentic-securityai-agentsmcp-securityself-hostedopenai-agents

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 581

581 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 54%

13/24 issues closed → decent issue management

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 96
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 57 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for secureagentics/Adrian
[![AgentRank](https://agentrank-ai.com/api/v1/badge/secureagentics--Adrian)](https://agentrank-ai.com/tool/secureagentics--Adrian/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/secureagentics--Adrian/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/secureagentics--Adrian" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="secureagentics/Adrian"></script>

Matched Queries

topic:mcp

From the README

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="assets/adrian-logo-dark.png">
    
  </picture>
</p>

<h3 align="center">Agent attacks slip past static analysis and network monitoring.</h3>
<p align="center"><b>Adrian catches them at runtime, by watching what the agent actually does (its actions and its reasoning) and stepping in before it acts. Open source, free forever.</b></p>

<p align="center"><b>+35% detection accuracy · 4x more nuanced attacks caught</b> vs behaviour-only monitoring (<a href="https://arxiv.org/pdf/2503.11926">OpenAI &amp; DeepMind research</a>)</p>

<p align="center">
  <a href="https://github.com/secureagentics/Adrian/stargazers"></a>
  <a href="LICENSE"></a>
  <a href="https://app.adrian.secureagentics.ai/"></a>
  <a href="https://pypi.org/project/adrian-sdk/"></a>
  <a href="https://discord.gg/Vq2VyYrw8Z"></a>
  <a href="https://www.linkedin.com/company/secure-agentics"></a>
  <a href="https://www.producthunt.com/produc
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.