Map, monitor, and secure every MCP session in real time. Block unauthorized servers, enforce trusted tools, and maintain agent-native guardrails— across both local and remote MCPs.
MCP connections create direct pathways between AI agents and infrastructure, circumventing established network security, data classification, and access management systems.
Static credentials in agent workflows persist across sessions and users, turning a single compromise into persistent organizational access that traditional rotation policies can’t address.
MCP streams transfer sensitive information at machine speed through channels invisible to existing DLP solutions, creating blind spots in data protection strategies.
AI tools executing with broad permissions can access resources far beyond their intended purpose, turning legitimate automation into unintended attack vectors.
MCP interactions generate fragmented logs across multiple systems without standard formats, making it impossible to reconstruct user actions or show regulatory compliance.
Compromised MCP tokens provide direct API access to databases, file systems, and business applications without additional authentication barriers.
Complete visibility, centralized control, and real-time protection for all MCP interactions across your development environment.
Complete visibility into MCP server usage within IDE environments
Centralized deployment and control of sanctioned MCP servers
Real-time security enforcement for all MCP interactions
Watch how Lumeus powers real-time, policy-driven protection for MCP connections-
securing both agents and developers without slowing innovation.
Access sanctioned MCP integrations through existing IDE workflow while preventing unauthorized server connections.
Connect AI agents to resources without handling tokens, keys, or authentication—automated secure access handles the complexity.
Deploy approved integrations across your development environment without configuration delays blocking your workflow.
Centrally deploy, update, and revoke MCP server access across all developer IDEs using existing configuration management tools.
Monitor all MCP connections organization-wide with real-time usage analytics and performance metrics for capacity planning.
Generate audit reports showing MCP usage, data access patterns, and policy violations across all AI development workflows.
Monitor all MCP connections across developer environments to identify unauthorized server usage and data access patterns.
Define and enforce which MCP servers developers can connect to, preventing shadow AI tool adoption and uncontrolled backend access.
Proxy MCP communications to inspect data flows and block malicious requests before they reach backend systems.
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