Platform Overview — MCP Security Governance, API Security | 42Crunch

MCP Security Governance for the Agentic Enterprise

Real-time compliance and security enforcement for the agentic enterprise.

MCP discovery and AI regulatory compliance.

As AI agents take on more autonomous work inside the enterprise, MCP has become the default way they reach tools, data, and systems which are for most organizations, the default blind spots. There's no consistent way to know what's exposed to an agent, whether it's safe, or whether the controls around it would hold up if a regulator or auditor asked.

Most of what an MCP tool actually does, it does by calling an API underneath it. Every MCP server an enterprise exposes to agents is also, quietly, exposing the APIs behind it. Governing the agent-facing surface without governing what it reaches is only half the job.

42Crunch closes that gap with real-time compliance and security enforcement for every MCP server an organization exposes to agents, partners, and customers, down to the APIs those tools ultimately call. Every server is governed against a machine-readable contract, continuously assessed and scored, mapped to the compliance frameworks the organization is accountable to, and enforced, not simply audited once and left to drift. The result: MCP goes from an unmanaged AI exposure risk to a governed, measurable, and auditable part of the enterprise's security posture, from the agent's first call all the way to the API on the other end of it.

The agent-to-tool path

Every request from an AI agent passes through the MCP server before it ever reaches an enterprise system or the API behind it. That's the one place governance has to sit and be evaluated continuously, not sampled once. An MCP tool is only as secure as the API it wraps. The 42Crunch platform's deterministic contract-driven model applies to the MCP and API layer, ensuring a well-governed MCP server is never sitting on top of ungoverned APIs.

Deterministic model for both layers.

Every MCP server and every API behind it gets a machine-readable contract of its declared surface. Discovery writes it, testing measures against it, runtime enforces it.

Discover — what exists
Assess — against the contract
Enforce — in CI/CD and at runtime
Evidence — mapped to controls

01 · Discover

MCP Discovery

Auto-discover and inventory every server; generate its contract automatically.

Sweeps registries, gateways and repos to surface the shadow servers agents are already calling, then reads each server's advertised tools, resources and prompts and emits a contract — the declared surface everything downstream is measured against.

02 · Assess

MCP Security Governance

Score every server against its contract and the OWASP MCP Top 10.

Grades each server on its own declared surface and on the OWASP MCP Top 10 — tool poisoning, injection through tool descriptions, over-broad scopes, unauthenticated transports. Every finding carries severity, evidence and the fix.

03 · Enforce

MCP Runtime Protection

Gate non-compliant servers in CI/CD; catch drift in running servers continuously.

Fails the build when a server leaves its approved contract, then keeps watching the one in production: new tools, rewritten descriptions and widened permissions are caught as they appear rather than at the next audit.

04 · Evidence

AI Compliance

Map every finding to NIST, EU AI Act, ISO 42001 and CSA AICM controls.

Each finding arrives already tied to the control it answers, so the audit trail for your AI estate is a by-product of the scan instead of a separate program of work.

MCP capabilities

What the platform does for every MCP server.

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MCP Discovery

Continuous, zero-touch discovery of MCP servers across the enterprise. As servers are found, the platform generates an initial contract for each automatically with an inventory of every tool, resource, and prompt a server exposes, with best-effort inference of risk level and data sensitivity.

100% of discovered MCP servers audited automatically

MCP Security & Governance

Deterministic assessment is made against the contract, covering both the content an agent will read and the protocol the server speaks. It identifies agent-facing threats like prompt injection and tool poisoning, alongside structural checks mapped to the OWASP MCP Top 10. Every server gets a score, a grade, and remediation guidance per finding.

MCP Runtime Protection

The approved contract is enforced continuously, not just checked once. Security Quality Gates block non-compliant or drifted servers in CI/CD, and running servers are continuously re-tested so an unauthorized change is caught between review cycles, not at the next audit.

AI Compliance

Real-time compliance reporting against NIST AI RMF, the OWASP MCP Top 10, the EU AI Act, ISO/IEC 42001, and the CSA AICM. Every finding maps to the control it breaches, and compliance state exports as a versioned report for auditors and regulators.

Frameworks and standards

Evidenced continuously, not assembled at audit time.

Framework What the platform evidences
NIST AI RMF Govern, Map, Measure, and Manage functions evidenced for every agent-accessible tool surface.
OWASP MCP Top 10 Deterministic coverage of all ten MCP vulnerability classes.
OWASP API Security Top 10 Coverage across the REST and GraphQL APIs those MCP tools call, via the same underlying engines.
EU AI Act Technical documentation, logging, human oversight, and risk-management obligations for high-risk AI systems.
ISO/IEC 42001 AI management-system controls operationalized as machine-checkable requirements.
CSA AICM AI Controls Matrix domains, including CCC and GRC control families, mapped to concrete findings.

The lifecycle, end to end

Discover. Govern. Enforce.

Every MCP server, and the APIs it calls, is found automatically, assessed continuously against its contract, and held to that contract in CI/CD and at runtime. One governance cycle, running for as long as the server and its APIs exist, not a one-time review.