The Model Context Protocol connects your AI applications with tools, data and systems — creating a new, dynamic attack surface in the process. Every connected MCP server becomes a trust boundary that you must deliberately control. VamiSec assesses, tests and hardens your MCP deployments — from the initial inventory to secure operations.
The Model Context Protocol has become the de facto standard for connecting AI agents within just a few months and is backed by Anthropic, OpenAI, Microsoft and Google. While the specification is still maturing, thousands of MCP servers are already running in production — many of them without a hardened configuration. The official specification describes attack vectors such as Confused Deputy, Token Passthrough, SSRF and Session Hijacking; documented incidents such as the MCP Inspector vulnerability CVE-2025-49596 (CVSS 9.4) demonstrate real-world exploitability. Anyone who uses, offers or connects MCP needs clear trust boundaries, tested servers and dependable controls.
We capture your MCP landscape in a structured way: hosts, clients, connected servers and their trust boundaries. Based on the OWASP MCP Top 10 (v0.1 Beta) and the official MCP Security Best Practices, we evaluate configuration, authentication, authorization and transport. You receive a prioritized risk overview with concrete recommendations for action.
We test your MCP servers offensively — from Tool Poisoning and Prompt Injection through SSRF to Token Passthrough and Session Hijacking. In addition, we perform a code review following a rigorous review profile, as recommended by the NSA guidance for MCP projects, and bring in our red-teaming platform VamiRedteam for recurring testing. You receive reproducible findings with evidence and a remediation path.
Together we define trust zones between agents, clients, models and users and assign tools to appropriate data classification zones. We model attack paths — for example dynamic tool discovery without origin checks or the "Lethal Trifecta" of data access, external communication and untrusted content. The result is a target picture with clear boundaries and controls.
We support your teams in the secure development of MCP servers following the OWASP Practical Guide (v1.0) and the official specification. The focus is on parameter validation against defined schemas, sandboxing of tool execution, least privilege as well as message signing and replay protection. This way you embed security early in the development process rather than retrofitting it.
We create transparency across all deployed MCP agents, servers and tools, including versions, patch level and known vulnerabilities. Network scans uncover unauthorized or unhardened "shadow" MCP servers before they become an entry point. On this basis you establish approval, registry and change processes that map to NIS2, DORA and the EU AI Act.
We design dependable observability for your MCP environment: logging of all tool and model calls, integration with your SIEM as well as filtering of the output pipelines against indirect Prompt Injection. In addition, we establish a procedure for tracking and patching MCP-related CVEs so that your team can respond quickly to new risks.
We clarify objectives, system boundaries and criticality and inventory your MCP hosts, clients and servers along with their connections and data flows.
We define trust boundaries and trust zones and map the identified risks to the OWASP MCP Top 10 (v0.1 Beta) as well as the official Best Practices.
Pentest, code review as well as configuration and network scans uncover exploitable vulnerabilities and unhardened servers — documented in a traceable and reproducible way.
We prioritize the measures, support secure development and configuration and verify their effectiveness in a re-test.
We embed logging, SIEM integration, Governance and CVE tracking so that MCP is operated in a sustained and controlled manner.
Schedule a no-obligation initial consultation. We assess your MCP landscape and show the next sensible step — from assessment to continuous monitoring.
