archestra vs mcp-panther
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.; mcp-panther: The Panther MCP server enhances security operations by enabling interactive natural language querying of security logs, facilitating the writing and tuning of detections from an IDE, and streamlining the triage and resolution of alerts. It integrates with various AI clients like Cursor and Claude Code, providing a powerful toolkit for security professionals to manage and respond to threats efficiently.
TL;DR
- 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.
- 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.
Automated Security Monitoring and Response
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