archestra
★ 4.4k
vs
Wazuh-MCP-Server
★ 257
archestra vs Wazuh-MCP-Server
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; 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.
01
TL;DR
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
Wazuh-MCP-ServerObservability · ★ 257
Natural language querying for security alerts and data.
02
Side-by-Side Comparison
Field
archestraWazuh-MCP-ServerCategory
Observability
Observability
Stars
★ 4.4k
★ 257
License
AGPL-3.0 (enterprise parts under a commercial license)
MIT
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
git clone https://github.com/gensecaihq/Wazuh-MCP-Server.git && cd Wazuh-MCP-Server && cp .env.example .env && python deploy.py
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
AI Integration, SIEM, Wazuh
03
Features
archestra01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
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
04
Use Cases
archestra↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
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.
05
Best For
archestraEssentialTrending
Wazuh-MCP-Server—
FAQ
FAQ
What is the difference between archestra and Wazuh-MCP-Server?
Both archestra and Wazuh-MCP-Server are in the Observability category. archestra has 4.4k stars, while Wazuh-MCP-Server has 257 stars.
Which is better, archestra or Wazuh-MCP-Server?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and Wazuh-MCP-Server if Natural language querying for security alerts and data..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is Wazuh-MCP-Server free or open source?
Yes, Wazuh-MCP-Server is open source on GitHub (MIT).
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