CyberCage
Security platform for AI tools and MCP servers
Details
- Follow on
- @cybercageioLinkedIn
- Categories
- AIDeveloper ToolsAutomation & Workflow
- Target Audience
- DevelopersEnterprisesDevOps Engineers
About CyberCage
We've been building with AI coding tools and kept running into the same problem: no visibility into what's actually happening. • Who on the team is running which MCP servers? • What tools are approved vs. just installed? • What data is going where? So we built CyberCage. MCP Management • Auto-discovery of MCP servers • Approval workflows for teams • Org-wide control down to individual tools • Integrates with GitHub's MCP Catalog Operations • Manage allowed AI apps across your org • Full audit logs (Splunk integration available) • Notifications via Slack, Teams, Webex, webhooks Supported platforms: • Claude Desktop, Claude Code, Codex CLI • VS Code, VS Codium, Cursor, Windsurf, Zed, Kiro, Antigravity • IntelliJ IDEA (beta) • n8n (native integration) • macOS, Linux, Windows (beta) In private beta: On-device network agent for content inspection (PII detection, packet metadata analysis) Coming soon: BYOLLM for inspection, browser extensions We're also planning to open-source CyberSmol v1.0, a small model fine-tuned for AI threat detection. Will share more when it's ready. See it in action: https://youtu.be/Zy7XhkQkUlk
Product Insights
CyberCage provides a centralized security and management layer for Model Context Protocol (MCP) servers and AI coding tools across Desktop and CLI platforms. It bridges the gap between individual AI tool usage and organizational oversight through automated discovery, approval workflows, and audit logging.
- Native integration with established IDEs including VS Code, Cursor, Windsurf, and Claude Desktop.
- Comprehensive operational visibility through Splunk integration and Slack or Microsoft Teams notifications.
- Centralized governance via approval workflows and auto-discovery of MCP servers.
- Cross-platform support for macOS and Linux with Windows support in beta.
Ideal for: Developers, Enterprises, and DevOps Engineers needing to manage AI tool permissions and audit data flow across their organization.
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Comments (1)
Security platform for AI tools! Visibility and control for MCP servers is critical.