innerwarden — MCP Server by InnerWarden

by InnerWarden · MCP Server · ★ 162

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About innerwarden

Inner Warden Local safety layer for AI agents that can use the terminal. AI agents are starting to do real work: read files, run commands, install packages, call APIs, and touch servers. That is useful. It is also the moment a chatbot becomes something with operational power. Inner Warden sits outside the agent, on the host it is using. It screens risky commands and MCP/tool traffic routed through its guard, watches the real Linux activity underneath with eBPF, blocks or flags dangerous behavior, and keeps the decision trail local. No cloud control plane. Open source. Dry-run by default. Your agent reads a pull request, a web page, or a file with hidden instructions. It tries to read secrets, run an unsafe shell command, or connect somewhere it should not. Inner Warden catches the action before the damage leaves the box, then shows you what happened and why. Installs in 10 seconds. Starts in observe-only mode. Dry-run by default. You decide when to go live. [![CI](http

agent-guardai-agent-securityanomaly-detectionautonomous-defensebehavioral-analysiscorrelation-engineebpfhoneypothost-securityincident-response

Quick Facts

Stars162
Forks30
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score60.5177576184094/100
Open Issues26
Last Updated2026-07-02
Created2026-03-12
Platformsmcp, rust
Est. Tokens~34k

Compatible Skills

These tools work well together with innerwarden for enhanced workflows:

  • tandem — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

innerwarden alternative? Top 6 similar tools

Looking for a innerwarden alternative? If you're comparing innerwarden with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • panguard-ai by panguard-ai · ⭐ 50

    Open-source security platform for AI agents -- audits skills before install, monitors 24/7, shares threat inte

  • vestige by samvallad33 · ⭐ 575

    Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find

  • decapod by DecapodLabs · ⭐ 217

    Repo-native governance kernel that enriches agent context and turns natural-language intent into governed, pro

  • alibabacloud-ecs-troubleshoot-skills by aliyun · ⭐ 162

    Troubleshooting skills for Alibaba Cloud ECS

  • ai_for_the_win by depalmar · ⭐ 148

    Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red tea

  • toolhive-studio by stacklok · ⭐ 139

    ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agent

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Rust Agent Tools

Frequently Asked Questions

What is innerwarden?

innerwarden is Local safety layer for AI agents that use the terminal. Screens risky commands and MCP/tool calls, watches Linux activity with eBPF, blocks dangerous behavior, and keeps audit trails local. Open sourc. It is categorized as a MCP Server with 162 GitHub stars.

What programming language is innerwarden written in?

innerwarden is primarily written in Rust. It covers topics such as agent-guard, ai-agent-security, anomaly-detection.

How do I install or use innerwarden?

You can find installation instructions and usage details in the innerwarden GitHub repository at github.com/InnerWarden/innerwarden. The project has 162 stars and 30 forks, indicating an active community.

What license does innerwarden use?

innerwarden is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to innerwarden?

The top alternatives to innerwarden on Agent Skills Hub include panguard-ai, vestige, decapod. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse MCP Server tools