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MCP PENETRATION TESTING
Your AI Tools Are Only as Secure as Their MCP Servers
Blacksight tests the Model Context Protocol integrations your AI agents depend on — before attackers exploit them to access your databases, steal credentials, and pivot through your infrastructure.
What is MCP?
The Model Context Protocol (MCP) is an open standard that connects AI assistants (Claude, ChatGPT, Copilot) to external tools and data sources — databases, APIs, file systems, cloud services, internal applications. MCP servers act as bridges between AI models and your real infrastructure.
When an MCP server is misconfigured, lacks input validation, or has overly broad permissions, an attacker can use the AI assistant itself as a weapon — executing commands, reading sensitive files, exfiltrating data, or pivoting through internal systems — all through natural language prompts.
The MCP Attack Surface
MCP servers introduce new attack vectors that traditional security tools miss entirely
Tool Injection
Malicious prompts trick the AI into calling MCP tools with attacker-controlled arguments, turning SELECT queries into DROP TABLE or reads into writes
Credential Exfiltration
MCP servers often hold database connection strings, API keys, and service account tokens. Poor scoping exposes them to any connected client.
Privilege Escalation via Tool Chaining
Combining multiple MCP tools in sequence to escalate from read-only access to admin control — e.g. listing users, then modifying roles
File System Traversal
File-access MCP tools without path restrictions let attackers read /etc/passwd, .env files, SSH keys, or application source code
Server-Side Request Forgery (SSRF)
MCP tools that make HTTP requests can be redirected to hit internal services, cloud metadata endpoints (169.254.169.254), or admin panels
Data Exfiltration Through Context
Sensitive data loaded into the AI context window can be extracted through carefully crafted follow-up prompts, bypassing traditional DLP controls
What We Test
Every MCP pentest covers these critical security boundaries
Our Methodology
A structured approach to finding and fixing MCP vulnerabilities before attackers do
Discovery
We map every MCP server in your environment, catalog connected tools, and document permission boundaries
Threat Modeling
We identify the highest-risk tool chains and data flows specific to your architecture
Active Testing
We attempt tool injection, privilege escalation, credential extraction, and data exfiltration against your live MCP deployment
Reporting
You get a detailed report with every finding classified by severity, proof-of-concept payloads, and specific remediation steps
Remediation Support
We work with your team to fix findings and re-test until your MCP deployment is hardened
Why Blacksight?
AI Security Specialists
We specialize in AI security — MCP, LLM integrations, and AI data flows are our core focus
Built From Both Sides
We built Blacksight AI, an enterprise DLP product that protects AI tool usage — we understand the attack surface from both sides
Manual, Methodology-Driven
We are not running automated scanners and calling it a pentest. Every test is manual, methodology-driven, and tailored to your environment
Nashville, TN Headquarters
Nashville, TN headquarters with engagements across the US and EMEA
Secure Your MCP Deployment
Don't wait for an attacker to find the gaps in your AI infrastructure. Get a professional assessment of your MCP servers before they become your weakest link.
Schedule Your Consultation
Contact Information
Phone
+1 (615) 200-7888Locations
Nashville, TN (US Office)
London, UK (UK Office)
Prefer to talk directly?
Book a discovery call with our security team to discuss your MCP environment and concerns.
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