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AI Security

MCP
Security.

Audit your MCP implementation for tool misuse, permission escalation, injection attacks, and agent boundary violations.

Tool permission review Injection attack surface analysis Agent boundary testing

Capabilities

What It Covers

MCP gives AI agents access to tools — file systems, APIs, databases, communication platforms. The more capable the agent, the larger the blast radius if tool permissions are too broad, injection defences are absent, or agent boundaries can be violated through crafted inputs.

MCP tool permission and scope review
Agent boundary and escalation testing
Injection attack surface analysis
Tool response validation
Logging and observability review

Process

How It Works

01

Provide MCP configuration and tool list

We receive your MCP server configuration, tool definitions, system prompts, and data access permissions.

02

We audit tool permissions, injection surfaces, and agent behaviour

We test tool scope against least-privilege, probe injection via tool responses, attempt permission escalation, and assess agent boundaries.

03

Deliver findings with hardening steps

A prioritised findings report with specific steps — permission changes, validation requirements, prompt hardening, and logging improvements.

Who Benefits

Use Cases

Businesses deploying AI agents via MCP

Any business using MCP to give agents access to tools and data needs to verify that permissions are scoped correctly and injection defences are in place.

Developers building MCP servers

MCP server authors need to ensure their tool implementations validate inputs, scope data access correctly, and don't expose unintended capabilities.

Organisations using Claude or other MCP-compatible models with tool access

Claude and other models that support MCP can be given significant capabilities. This review confirms those capabilities are appropriately constrained.

Common Questions

What People Ask

MCP (Model Context Protocol) security involves auditing the tools, permissions, and data access granted to AI agents operating through the protocol. Risks include agents using tools beyond their intended scope, injection attacks through tool responses, and privilege escalation.

Audit Your MCP Implementation Before It Becomes a Liability.

Request an MCP security audit. We'll review your tool permissions, injection surfaces, and agent boundaries.