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Antigravity: When a File Search Tool Becomes RCE Claudy Day and the First-Party Exfiltration Trap The 4-Hour Exploit: How AI Agents Just Rewrote Offensive Security LiteLLM Supply Chain Attack: PyPI Compromise Targets AI Infrastructure 30 CVEs in 60 Days: The MCP Security Reckoning Has Arrived
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▸ SECURE CONNECTION ▸ LATENCY: 4.2ms ▸ AGENTS: 17,432 ▸ THREAT LEVEL: NOMINAL
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▓▒░ USE-CASES / MCP-SKILLS

MCP connects your agents to everything.
Including your worst security nightmares.

The Model Context Protocol is the standardization layer for AI tool use. MCP servers extend agent capabilities to databases, APIs, and cloud services - and the ecosystem is growing faster than security review can keep up.

tool supply chain · server authentication · transport security · schema validation · capability scoping

rogue-scan SCANNING
Secure your MCP ecosystem
{···}···{···}···{···}

▓▒░ SUPPLY CHAIN

Your agent is only as secure as its weakest server

Every layer in the MCP ecosystem is an attack surface.

LAYER 01
MCP SERVER REGISTRY
npm, community repos
malicious server packages
↓
LAYER 02
MCP SERVER RUNTIME
Your machine / cloud
server compromise
↓
LAYER 03
TRANSPORT LAYER
stdio / SSE / HTTP
transport interception
↓
LAYER 04
TOOL DEFINITIONS
Schemas, capabilities
schema manipulation
↓
LAYER 05
CONNECTED RESOURCES
Databases, APIs, files
resource exploitation
↓
LAYER 06
AI AGENT
Cursor, Claude Code, etc.
cross-server data leak
▓░▒░▓░▒░▓░▒░▓░▒░▓

▓▒░ ATTACK SURFACE

The attack surface the MCP spec doesn't cover

MCP standardizes tool use. It doesn't secure it.

▓▒░ ATTACK VECTOR

SQL injection through natural language

Your MCP database server translates natural language queries into SQL. An attacker crafts a conversation that manipulates the agent into generating a query containing injection payloads. The MCP server executes it directly - there's no parameterized query layer between the agent's output and your database.

▓▒░ ATTACK VECTOR

Cross-server data exfiltration

An agent connected to multiple MCP servers can be manipulated into using a "data export" tool on Server B with data retrieved from "customer lookup" on Server A. The agent sees all servers as trusted tools - it doesn't enforce data flow boundaries between them. Your customer database content exits through your Slack MCP server.

▓▒░ ATTACK VECTOR

Malicious MCP server in the supply chain

A popular community MCP server for GitHub integration gets compromised. The update includes code that silently sends tool invocation data - including query parameters, file contents, and API responses - to an external endpoint. 2,000 developers install the update before anyone notices.

{···}···{···}···{···}

▓▒░ SOLUTION

Scan it. Isolate it. Monitor it.

Three capabilities purpose-built for the MCP ecosystem.

01

Scan every MCP server before connecting

75+ vulnerability checks purpose-built for MCP servers. Test for server integrity, schema validation, capability analysis, and dependency audit - before any server connects to your agent. Every tool definition is analyzed for over-permission, arbitrary path access, and undocumented capabilities.

▸ Server integrity and dependency chain verification
▸ Tool schema validation and capability scope analysis
▸ Transport security configuration audit
▸ CVSS scoring with MCP-specific remediation guidance
SCAN: mcp-ecosystem (4 servers)
──────────────────────────────
github-mcp: 2 findings (1H, 1M)
postgres-mcp: 3 findings (1C, 1H, 1M)
slack-mcp: 2 findings (1H, 1L)
custom-api: 2 findings (1C, 1L)
──────────────────────────────
Total checks: 75/75
Frameworks: OWASP │ MITRE │ MCP-SEC
02

Runtime isolation between MCP servers

MCP agents treat all connected servers as equally trusted. Rogue enforces data flow boundaries - blocking cross-server data exfiltration, monitoring tool invocation patterns, and isolating sensitive resources from untrusted servers.

▸ Cross-server data flow enforcement and blocking
▸ Per-server invocation monitoring and anomaly detection
▸ Tool argument validation and injection prevention
▸ Zero-trust isolation between connected servers
ISOLATION: mcp-prod (4 servers)
──────────────────────────────────
postgres → slack: BLOCKED (data classification)
postgres → github: BLOCKED (write prevention)
github → custom: ALLOWED (read-only)
slack → custom: ALLOWED (scoped)
──────────────────────────────────
Invocations blocked: 34 (last 24h)
Status: ENFORCING
03

Continuous monitoring of the MCP ecosystem

MCP servers update without notice. Tool schemas drift. New capabilities appear. Rogue continuously monitors your MCP ecosystem - tracking server versions, detecting schema changes, and alerting on invocation anomalies before they become breaches.

▸ Server version tracking and update verification
▸ Tool schema drift detection and alerting
▸ Invocation pattern anomaly detection
▸ Supply chain integrity monitoring for all connected servers
POSTURE: mcp-ecosystem
──────────────────────────
MCP Servers: 12 monitored
Tool Definitions: 47 tracked
Invocations/day: 8,291
Schema Drifts: 3 (last 7d)
Version Alerts: 2 (unverified update)
Supply Chain: 89% (1 unaudited dep)

Read our comprehensive MCP Security Guide for in-depth technical analysis. Cloud deployment →

MCP is the future of AI tool use. Secure it from day one.

The MCP ecosystem is growing. Your security posture should grow with it.

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