MCP Security + Agent Architecture Audit

If your team has an MCP server, internal copilot, or multi-agent workflow near production, this audit finds the trust-boundary mistakes, tool overreach, missing approvals, and observability gaps that turn launches into incident response. It is not a generic pentest. It is a targeted review of how the agent actually reasons, calls tools, moves data, and fails under pressure.

MCP servers and tool gateways Internal copilots and support agents Multi-agent workflows and A2A hops Observability and replay readiness

Best fit for SaaS teams, internal platform teams, and product groups that already have agents running or are 2 to 6 weeks from production.

Shipping claims, underwriting, or brokerage automation? See the insurance-specific version.

Scope Security

Prompt injection, tool containment, secrets, network egress, auth, and abuse controls along the runtime path.

Control Plane Architecture

Trust boundaries, memory design, replayability, approvals, and rollback paths instead of vague “agent strategy” talk.

Outcome Backlog

A prioritized remediation plan your team can execute without guessing what matters first.

Best For Teams Shipping

MCP, internal copilots, ops automations, support agents, and multi-agent pipelines already close to production.

Insurance teams should not use generic agent security copy

If the workflow touches claims intake, underwriting support, policy service, or broker operations, use the insurance-specific page. It is framed around PII handling, approval boundaries, document ingestion, and customer-facing failure modes instead of generic SaaS examples.

A shipping decision, not a vague security memo

The point of this audit is to tell you whether your agent stack is safe to ship, what needs to change first, and how to harden it without slowing your team to a crawl.

Security posture review

I review prompt-injection exposure, tool validation, secrets handling, egress controls, dependency hygiene, and logging gaps across the actual runtime path.

Architecture scorecard

I evaluate your agent topology: how requests enter, how identity moves, where memory lives, how approvals happen, what gets replayed, and how failures degrade.

Prioritized remediation plan

You leave with severity-ranked findings, concrete fixes, and a clean separation between same-week actions, next-sprint work, and deeper architectural refactors.

What I inspect during the review

This audit blends MCP hardening with agent systems design. I look for the places where working demos become unreliable or dangerous production systems.

Tool permissions and containment

  • Least-privilege file and network boundaries
  • Command execution restrictions and safe defaults
  • Validation around tool arguments and outputs

Identity and trust

  • HMAC signing, replay protection, and message provenance
  • Scoped credentials per service or agent
  • Authentication that fails closed, not open

Memory and auditability

  • What gets stored, replayed, and versioned
  • Immutable action logging and forensics trails
  • Cross-session context that does not leak secrets

Runtime governance

  • Budget caps, rate limits, and kill switches
  • Human approval boundaries for risky actions
  • Graceful degradation when models or tools fail

Observability and drift

  • Conversation capture and trace coverage
  • Quality evaluation, anomaly detection, and alerts
  • Drift monitoring after model or prompt changes

Architecture integrity

  • Single-agent vs multi-agent boundary decisions
  • Internal API contracts and task routing
  • Rollback paths, replayability, and test coverage

How the engagement runs

The goal is fast clarity. I use a fixed scope, gather the right artifacts up front, and give you a report your engineering lead can turn directly into a sprint plan.

1

Pre-read and scope capture

You send your runtime diagram, repo pointers, environment notes, and the MCP servers or agent flows you want audited first.

2

4-hour working session

I inspect code paths, config, permissions, logs, and architecture choices with an explicit focus on production failure modes.

3

Scorecard and findings

You receive a written report covering severity, exploitability, architectural debt, and the fastest hardening wins.

4

Readout and next sprint

I walk your team through the report and turn it into a 1 to 2 sprint remediation plan. Optional hardening help is scoped separately.

Starter assets included on this page

If you want to see how I think before you book anything, start with the same artifacts I use to structure the engagement and the final report.

MCP Security Checklist

A practical checklist covering prompt injection, tool permissions, secrets, logging, governance, and network exposure.

Download checklist

Agent Architecture Scorecard

A scorecard for trust boundaries, memory, control planes, observability, change management, and human approval paths.

Download scorecard

Hardening Report Template

A sample final deliverable showing the before and after posture, intervention log, and remediation table clients receive.

Download report template
Pricing

Fixed-fee audit

$2,500 flat fee

Designed for one production surface: a primary MCP deployment, one internal copilot, or one agent workflow with the control plane around it. This is the fast outside review before you widen permissions or put customer traffic through it.

Live review session4 hours
Written findingsWithin 5 business days
Readout call90 minutes
Severity-ranked backlogIncluded
Request The Audit

What counts as in scope

  • One MCP server or gateway plus its primary tool surface
  • One agent runtime or one multi-agent workflow path
  • Config, auth, logging, approvals, and runtime controls around that path

Audit + hardening sprint

  • Most teams fix the P0 and P1 findings in a separate sprint
  • Typical follow-on scope starts at $7,500 for implementation support
  • Observability and regression guards can be scoped into the same sprint

When I quote separately

Large fleets, multi-tenant environments, several repos, or hands-on rollout work get quoted separately after the audit. The point of the fixed fee is to get a sharp signal first.

Common questions

Is this the same as a normal app pentest?

No. This audit is built for agent systems. I inspect control-plane decisions, tool boundaries, memory, human approvals, and replay paths that traditional web security reviews usually ignore.

Do we need to be using MCP already?

No. MCP teams are a strong fit, but I also audit agent systems using internal tools, proprietary gateways, or A2A-style multi-agent flows. The review still focuses on tool access, trust boundaries, and runtime governance.

Can you work with an existing internal team?

Yes. The normal pattern is: your team owns the code and rollout, I supply an outside architecture and hardening lens plus a prioritized remediation plan.

Do you also fix the findings?

Yes, but that is scoped separately. The fixed-fee audit is deliberately narrow so you get a sharp signal first. If you want implementation help, I turn the findings into a sprint plan after the readout.

Request the audit

This goes into the audit-specific intake flow. I use it to scope the review, tag the lead correctly in CRM, and reply with next steps.

You can also email directly if you want to send screenshots or architecture docs first.