> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mcpmanager.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Healthcare & Life Sciences
> How MCP Manager governs AI for healthcare providers and payers โ one governed gateway that detects and redacts PHI before it reaches a model, enforces minimum-necessary access to EHR and FHIR systems, and attributes every clinical-system call to a real identity under HIPAA and GDPR.
The standard way to connect an AI agent to the systems that hold patient data is now MCP, and MCP is only a transport protocol. HIPAA compliance for an AI deployment is an implementation responsibility that has to be enforced somewhere. MCP Manager is where it gets enforced.
The PHI-handling capabilities described here are mechanisms the gateway provides. They are not a substitute for your own HIPAA compliance program, and nothing here constitutes a certification.
For organizations that require a Business Associate Agreement (BAA), MCP Manager signs one โ we can countersign yours or provide our own. BAA coverage is available on select enterprise plans. See [Security & Compliance](/enterprise/security-and-compliance#business-associate-agreement-baa) or contact your MCP Manager representative.
## The opportunity and the bind
Modern AI-to-clinical-system access runs largely through HL7 FHIR โ the standardized API access mandated by the 21st Century Cures Act โ into EHRs like Epic and Oracle Health, plus scheduling, billing, and lab systems. Medical MCP servers are emerging fast. Each connection is also a path for Protected Health Information (PHI) to flow somewhere it should not.
Without a control point, an organization cannot prove minimum necessary at the agent level, cannot keep PHI out of model endpoints that carry no Business Associate Agreement, cannot produce a complete audit trail for an OCR investigation, and cannot detect shadow MCP usage. Industry reporting through 2025 and into 2026 named shadow AI as a leading breach driver and found that the large majority of organizations suffering an AI-related incident lacked proper AI access controls. The bind is the same one every regulated buyer faces, with higher stakes: block MCP and lose the clinical and operational velocity teams are demanding, or allow it and have no visibility into which agents touch which systems.
```mermaid theme={null}
%%{init: {'theme':'base','themeVariables':{'fontFamily':'Lato, sans-serif','lineColor':'#6a6b76','primaryColor':'#e0e2e8','primaryTextColor':'#12141d','primaryBorderColor':'#6a6b76','edgeLabelBackground':'#ffffff','textColor':'#12141d'}}}%%
flowchart LR
A1["๐ค
Clinician & staff AI assistants"]
A2["๐ค
Care-ops & revenue-cycle agents"]
GW["๐ก๏ธ
MCP Manager gateway"]
LOG[("๐๏ธ
Audit log")]
subgraph est["Your clinical estate"]
direction TB
S1["๐ฅ๏ธ
EHR (Epic, Oracle Health)"]
S2["๐ฅ๏ธ
FHIR APIs"]
S3["๐ฅ๏ธ
Scheduling & billing"]
S4["๐ฅ๏ธ
Lab systems"]
end
X["๐ซ
Non-BAA model endpoint"]
A1 -->|"identity-attributed
tool calls"| GW
A2 --> GW
GW -->|"PHI detected,
redacted or blocked"| S1
GW --> S2
GW --> S3
GW --> S4
GW -.->|"every call,
every identity"| LOG
GW -.->|"PHI blocked"| X
classDef gateway fill:#0086ff,color:#ffffff,stroke:#062b4c,stroke-width:2px;
classDef client fill:#80cbc4,color:#062b4c,stroke:#00796b,stroke-width:1.5px;
classDef server fill:#aed8ff,color:#062b4c,stroke:#0b4880,stroke-width:1.5px;
classDef datastore fill:#062b4c,color:#ffffff,stroke:#0086ff,stroke-width:1.5px;
classDef blocked fill:#ec9c9d,color:#12141d,stroke:#eb5757,stroke-width:2px;
class GW gateway;
class A1,A2 client;
class S1,S2,S3,S4 server;
class LOG datastore;
class X blocked;
style est fill:transparent,stroke:#9ca1ab,stroke-dasharray:4 3,color:#6a6b76;
```
The gateway is the single point where PHI can be detected and stopped before it reaches a model, and where every clinical-system call is attributed and logged.
## The regulatory reality
Both sides of a healthcare organization's footprint โ US and EU โ are tightening toward continuous, verifiable controls. Here is what each regime asks of an AI deployment, and what MCP Manager does about it.
* **HIPAA minimum necessary** โ you must restrict each actor to the least PHI required for the task. MCP Manager applies that to agents with [per-team and per-identity tool scoping](/features/feature-provisioning) and capability-based [access control](/deployment/access-control).
* **The 2025 HIPAA Security Rule modernization** pushes from periodic checkbox audits toward continuous, verifiable controls โ MFA, encryption at rest and in transit, and annual Business Associate verification. MCP Manager gives you continuous [audit logging](/security/audit-and-observability), [encryption in transit and at rest](/mcp-gateway-concepts/architecture-and-trust), and real-time [alerts](/features/alerts) on policy violations.
* **GDPR Article 9** requires an explicit lawful basis and data minimization for health data. MCP Manager [detects and redacts](/features/pii-filtering) special-category data before it reaches a model, minimizing it at the point of access.
* **The 21st Century Cures Act** made FHIR API access widespread, which is what makes MCP-to-EHR integration feasible and a control point necessary. MCP Manager is that control point in front of [your EHR and FHIR servers](/mcp-gateway-concepts/mcp-servers/remote), governing every call and attributing it to a real identity.
| What regulators expect | What MCP Manager enforces today | What it lets you demonstrate |
| ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
| **Keep PHI out of unsanctioned models** | [Gateway rules](/features/gateway-rules/overview) detect personal and health data with regex and Microsoft Presidio and block, redact, mask, replace, or hash it inbound and outbound before it reaches a model | "PHI is caught and stopped at the gateway before it can reach a non-BAA endpoint." |
| **Minimum necessary at the agent level** (HIPAA Security Rule) | [Tool provisioning](/features/feature-provisioning) โ allow-all, allow-only-if-conditions-are-met, or block-all per server, fail-closed โ plus per-team and per-identity scoping, so an agent reaches only the data its task requires | "Each agent sees only the least data needed, and we can prove which tools it could reach." |
| **Audit controls for an OCR investigation** (HIPAA ยง164.312) | A comprehensive audit log of every MCP call attributed to the real user or agent, with the tool, request, response, and verdict โ searchable and exportable to your SIEM | "We can reconstruct exactly what data any AI touched, when, and under whose identity." |
| **Lawful basis and data minimization** (GDPR Articles 5 and 9) | Inline detection and redaction so personal and special-category data is minimized before logging or model exposure | "Special-category data is minimized at the point of access." |
| **Continuous monitoring and incident readiness** (proposed Security Rule) | Real-time [alerts](/features/alerts) on content-filter triggers and policy violations, plus break-glass kill switches to disable a host, connection, or identity instantly | "High-severity events notify the compliance team, and a connection can be cut off immediately." |
| **Encryption of ePHI in transit and at rest** | TLS re-origination on every connection and an AES-256-GCM credential vault under rotating keys | "Credentials are encrypted at rest and every hop is encrypted in transit." |
The first row carries the most weight: the gateway can detect PHI with both pattern-based rules and Microsoft Presidio's trained classifiers and act on it โ block, redact, mask, replace, or hash โ *before* the data reaches a model, with each rule set to fail closed if you choose.
## How MCP Manager governs healthcare AI
* **PHI detection and redaction in flight.** [Gateway rules](/features/gateway-rules/overview) inspect every MCP message in both directions. [Microsoft Presidio](/features/gateway-rules/presidio) brings trained PII and health-data classifiers; [regex](/features/gateway-rules/regex) catches structured identifiers like MRNs and SSNs; [custom rule engines](/features/gateway-rules/custom-rules-engines) let you connect an internal DLP system. Five enforcement actions โ block, redact, replace, mask, hash โ apply inline, and you set each rule to fail closed so a detector outage denies sensitive data rather than passing it.
* **Minimum necessary, enforced not promised.** [Capability-based RBAC](/deployment/rbac-and-roles/overview) and [per-team tool scoping](/features/feature-provisioning) decide which agents reach which systems, and the fail-closed allowlist blocks anything not explicitly permitted. An agent built for scheduling never gets handed clinical write tools.
* **An audit trail an investigator can use.** Every call is logged with the requesting identity, the tool, the payloads, and the enforcement verdict, [searchable across users and timeframes](/features/viewing-logs) and [exportable to your SIEM](/enterprise/export-to-siem). See [Audit & observability](/security/audit-and-observability).
* **Identity that holds up.** Enforced OAuth with PKCE, identity brokering so credentials never live in the client, [SSO through your IdP](/enterprise/sso), and [SCIM 2.0 provisioning](/enterprise/scim). A [break-glass kill switch](/features/api-tokens-and-headless-agents) disables a host, connection, or identity instantly. See [Authentication & identity](/security/authentication-and-identity).
* **Control over what leaves your environment.** Gateway rules redact or mask sensitive values *before* anything is logged, you can forward logs to a [self-hosted collector](/enterprise/export-to-siem/self-hosted-collector) in your own region, and source systems behind [workstation](/mcp-gateway-concepts/mcp-servers/workstation) and [managed](/mcp-gateway-concepts/mcp-servers/managed) servers stay in your infrastructure. See [Hosting & data residency](/deployment/hosting-and-data-residency).
## Why Usercentrics
For a buyer whose top concern is regulatory exposure, "the compliance company built this" is a stronger story than "the AI infrastructure startup added a compliance feature."
MCP Manager is built by **Usercentrics**, Europe's largest consent management platform โ a company whose entire business is governing how organizations handle consented and regulated data, at the scale of billions of consent signals every month across 100+ countries. Extending that discipline from web and app consent to how AI agents access regulated data is a natural progression of the same core competency. The platform runs inside Usercentrics' own audited cloud environment under the security and compliance program of a data-privacy company; review its posture at the [Usercentrics trust center](https://trust.usercentrics.com/). For an organization running a vendor-risk assessment, that institutional backing materially de-risks the purchase relative to a standalone startup.
## Further reading
The next industry page โ GxP, 21 CFR Part 11, and IP protection for pharma and biotech.
How the gateway detects and acts on sensitive data inline.
What every call records and how the evidence trail is built.
Where MCP Manager runs and what stays in your own environment.
## External sources
HHS guidance on safeguards for electronic protected health information.
The proposed modernization of the HIPAA Security Rule.
Processing of special categories of personal data, including health.
The standard for clinical data interoperability behind EHR access.