--- title: "Agent and MCP security review, AI engineering · Mochavi" description: "A security review of your agent and every MCP tool it can call, with a report your customers' security teams will accept." canonical: "https://www.mochavi.com/services/ai-engineering" markdown_mirror: "https://www.mochavi.com/services/ai-engineering.md" language: "en" generated_from: "prerendered HTML" --- > Canonical HTML: [https://www.mochavi.com/services/ai-engineering](https://www.mochavi.com/services/ai-engineering) > > This machine-readable Markdown mirror is generated from the canonical page during the Mochavi production build. ![](https://www.mochavi.com/images/strata/strata-veins-1920.webp) [Services](https://www.mochavi.com/services) / AI engineering and agent security # Agent security reviews and AI that holds up in production. A security review of your agent and every MCP tool it can call, with a report your customers' security teams will accept. Or agents and LLM features built with evaluation from day one. Agent and MCP review Fixed scope, fixed price Includes Fixes, one retest, customer letter Report Severity-rated, mapped to the OWASP Top 10 for LLM applications Builds Scoped per phase [Start a project](https://www.mochavi.com/contact#ai)[How it works](#how) Who this is for ## Product teams shipping AI features or agents. The demo works. Now it has to work for every customer, cost a known amount and not leak data when someone hides an instruction in a document. Often an enterprise customer's security team is asking for a review first. - ### Agent and MCP security review What each tool can read, write and send; prompt injection through tool output; permissions and credentials; network egress; version pinning; human approval for irreversible actions; logging. - ### MCP Trust Registry Our scanner and evidence registry for MCP servers and agent tools. We run it on the servers in your AI workflows, before they go live and when they change, and an engineer reviews every finding. [How it started](https://www.mochavi.com/work/mcp-security-review) - ### Agent pipelines Agents with scoped tools, permissions and human approval where it matters, and logs you can audit afterwards. - ### MCP servers and integrations MCP servers for your product and safe integration of third-party ones. - ### Evaluation Test sets and scoring that show whether a prompt or model change made things better or worse before customers do. - ### LLM features in products Search, extraction, summarisation and assistants with predictable cost per request. Proof ## Work we can describe. Clients stay anonymous. Names and details are available under NDA after a first call. Our own engineering runs on agent pipelines that write, review and test code under human review, and we review every MCP server those agents use. - **Agent security: an MCP review that became a client tool**We reviewed every MCP server a client's agents would call before rollout. The checks became our MCP Trust Registry. [Read the case](https://www.mochavi.com/work/mcp-security-review) - **AI engineering: 3× faster, 40% lower cost**Business processes rebuilt around AI agents, with people approving the decisions that matter. [Read the case](https://www.mochavi.com/work/ai-operations) ### What a review delivers - **Findings report**Every issue with severity, evidence, the attack it enables and the fix, mapped to the OWASP Top 10 for LLM applications. - **Fix guidance**Concrete changes to tool scopes, credentials, egress rules and approval steps. - **One retest**We verify your fixes once they are in. - **Customer letter**A one-page summary of scope, method and status for your customers' security teams. [See a sample report](https://www.mochavi.com/services/ai-engineering/sample-report)[Read: how we review an MCP server](https://www.mochavi.com/notes/mcp-server-review) HD Your contact ## Hein Dauven, founder and engagement lead Rotterdam, Netherlands · [LinkedIn ↗](https://www.linkedin.com/in/heindauven/) Hein founded Mochavi and leads every engagement. He is your contact from the first call to delivery; Mochavi's senior engineers do the work with him. How it works ## Fixed scope from the start. 1. ### Kick-off A call, access to the agent, its tools and a staging environment. The scope is fixed, so there is no scoping phase. 2. ### Review Tool-by-tool review and hands-on injection tests against staging. 3. ### Report Report, walkthrough with your team, customer letter. Retest when your fixes are in. Questions ## Questions buyers ask. Can Mochavi review our agent and MCP servers for a customer's security team? Yes. That is our agent and MCP security review: a fixed-scope review of every tool your agent can call, hands-on prompt-injection tests against staging, a severity-rated report mapped to the OWASP Top 10 for LLM applications, one retest and a one-page letter for your customers' security teams. Which models and frameworks? Any. The review covers the tools and the data flows, which matter more than the model. For builds we use hosted frontier models, or open-weight models when data cannot leave your environment. Is this a penetration test? It is a design and configuration review with hands-on injection tests against staging. If your customers require a certified penetration test, we scope the review to complement it. Who owns the report and code? You do. ![](https://www.mochavi.com/images/strata/strata-band-1920.webp) Start a project ## Tell us what has to work. Describe the system and the deadline. We reach out within five days; the first call is free and confidential. * * * [Start a project](https://www.mochavi.com/contact#ai) Or email hello@mochavi.com