Wazuh-MCP-Server
★ 257
vs
lmnr
★ 3.4k
Wazuh-MCP-Server vs lmnr
Wazuh-MCP-Server: This production-ready MCP server bridges AI assistants with Wazuh SIEM, enabling natural language queries for security data. It simplifies threat analysis, vulnerability checks, and compliance reporting by eliminating context-switching and manual API interactions.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.
01
TL;DR
Wazuh-MCP-ServerObservability · ★ 257
Natural language querying for security alerts and data.
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
02
Side-by-Side Comparison
Field
Wazuh-MCP-ServerlmnrCategory
Observability
Observability
Stars
★ 257
★ 3.4k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/gensecaihq/Wazuh-MCP-Server.git && cd Wazuh-MCP-Server && cp .env.example .env && python deploy.py
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
AI Integration, SIEM, Wazuh
AI Observability, Tracing, LLM Evals
03
Features
Wazuh-MCP-Server01Full MCP Protocol Compliance (2025-11-25)
0229 Specialized Security Tools
03Flexible Authentication (OAuth, JWT, Authless)
04Production-Ready Resilience and Monitoring
05Dockerized Multi-platform Deployment
lmnr01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04
Use Cases
Wazuh-MCP-Server↳Natural language querying for security alerts and data.
↳Automated vulnerability and agent health checks.
↳Automatic alert triage and incident case creation.
↳AI-driven response planning and risk assessment.
lmnr↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05
Best For
Wazuh-MCP-Server—
lmnrEssentialTrending
FAQ
FAQ
What is the difference between Wazuh-MCP-Server and lmnr?
Both Wazuh-MCP-Server and lmnr are in the Observability category. Wazuh-MCP-Server has 257 stars, while lmnr has 3.4k stars.
Which is better, Wazuh-MCP-Server or lmnr?
The best choice depends on your use case. Choose Wazuh-MCP-Server if Natural language querying for security alerts and data., and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is Wazuh-MCP-Server free or open source?
Yes, Wazuh-MCP-Server is open source on GitHub (MIT).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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