42Crunch continuously evaluates every MCP server against the regulatory and industry frameworks your organization answers to — across every geography you operate in — and maps each finding to the specific control it breaches. Compliance posture is computed by the control on every audit and every scan, not assembled from documents afterward.
Mapped automatically to
MCP has become the de facto standard for AI agent-to-tool integration. AI agents now autonomously invoke tools, read resources, and act on enterprise data through MCP servers — shifting integration from deterministic API calls to dynamic, agent-driven interactions. Unmanaged adoption creates shadow integration paths that bypass enterprise controls: a single mis-scoped tool or logging gap produces untraceable agent actions, with no evidence trail to prove which controls were in place, or that they held.
42Crunch continuously evaluates every MCP server against the regulatory and industry frameworks your organization is accountable to, wherever you do business, and maps each finding to the specific control it breaches.
Govern, Map, Measure, and Manage functions evidenced for every agent-accessible tool surface.
Reporting: per-finding control mapping
Deterministic coverage of all ten MCP vulnerability classes, scored per server.
Reporting: scored 0–100 / A–F
Technical documentation, logging, human oversight, and risk-management obligations for high-risk AI systems.
Reporting: versioned audit record
AI management-system controls operationalized as machine-checkable requirements.
Reporting: continuous conformity
AI Controls Matrix domains — including CCC and GRC control families — mapped to concrete findings.
Reporting: per-domain findings
42Crunch generates an MCP Contract for each server: a machine-readable specification of how it must operate. Written against a common enterprise policy schema, it's the single source of truth across discovery, audit, scanning, and compliance reporting — the same contract, evaluated the same way, wherever the server runs.
Auto-discover, register and inventory MCP servers. Generate an MCP Contract for every server.
Score Data, Security and Protocol against the 42Crunch Knowledge Base — deterministic baseline.
Drift and policy-conformance scanning. Identity, runtime and behavioural tests.
Enforce Security Quality Gates in CI/CD. Block non-compliant servers, close the feedback loop.
MCP servers are found across the enterprise automatically, with an initial contract generated for each — an immediate inventory without manual documentation.
Running servers are tested against their approved contracts, identifying OWASP MCP Top 10 vulnerabilities and unauthorized changes before they expose enterprise systems.
Each tool is evaluated on the sensitivity of the data it handles and the actions it performs. High-impact tools get stricter controls, including human-in-the-loop approval.
Every assessment and Security Quality Gate decision creates a versioned, scored governance record, evidencing that required controls were evaluated and enforced.
Continuous evidence — every audit, scan, and Security Quality Gate decision produces a versioned, scored, framework-mapped record, not a point-in-time attestation.
Deterministic, not LLM-judged — the same server evaluated twice returns the same score and the same findings, in any region, at any time.
Finding-level traceability — each finding carries a control reference, severity, and remediation.
Enforced, not advisory — Security Quality Gates block non-compliant MCP servers in CI/CD before production, rather than flagging a gap for someone to act on later.
NIST AI RMF (United States), the EU AI Act (European Union), ISO/IEC 42001 (international management-system standard), the OWASP MCP Top 10 (global security baseline), and the CSA AI Controls Matrix (global, cloud-focused). Each is evidenced continuously, not assembled from documents at audit time.
Yes — every audit and scan checks a server against all applicable frameworks simultaneously, so a server serving users in the US and the EU gets NIST AI RMF and EU AI Act findings side by side, in the same report.
No. 42Crunch evidences the technical controls a regulation requires — logging, access control, risk classification, and so on — and maps findings to the specific clause or control they touch. Whether that evidence satisfies a given regulator's expectations in a given jurisdiction is a legal determination your compliance and legal teams make; 42Crunch gives them the evidence to make it with.
Deterministically, by the control, on every audit and every scan. The same MCP server evaluated twice returns the same score and the same findings — nothing is estimated by a language model or assembled retroactively from policy documents.
New and updated frameworks are added to the 42Crunch Knowledge Base and evaluated against already-discovered MCP servers automatically — no need to re-audit manually or wait for the next scheduled review to see where you stand.
A GRC platform typically tracks policies and collects attestations. 42Crunch evaluates the MCP server itself against its approved contract and produces the technical evidence — most GRC and compliance workflows still need that evidence as an input, since policy documents alone can't prove a control actually held at runtime.
Point 42Crunch at any MCP server and get a report scored against the OWASP MCP Top 10 and your regulatory frameworks — no agent, no deployment, no commitment required.