> ## 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.
# Government & Public Sector
> How MCP Manager gives government and public-sector teams a zero-trust control point for agentic AI — one governed gateway that isolates credentials, attributes every call to a real identity, keeps citizen data out of models, and produces the audit evidence FISMA, NIST 800-207, the EU AI Act, and GDPR demand.
MCP connects AI agents to the systems that deliver public services: benefits and case management, tax and records systems, permitting, and the citizen data behind them. That reach is what makes an agent useful to a caseworker or an analyst, and it is exactly what a public body cannot leave ungoverned, because every framework it operates under demands that access to citizen data be authorized, least-privileged, and traceable. The federal posture shifted in 2025 from caution toward acceleration, with a Chief AI Officer now mandated at every covered agency, so the question is no longer whether to adopt AI but how to admit agent access the way government admits any system: assessed, monitored, and governed.
MCP Manager's security posture is described here in terms of the architectural controls it provides today. It does not hold FedRAMP or GovRAMP
authorization, and nothing on this page implies an authorization status. Ask your MCP Manager contact about current certifications and deployment
options for your authorization path.
## The opportunity and the bind
Agencies want AI's upside, and the very things that make them government make ungoverned adoption impossible. The authorization instinct is to admit only assessed, monitored systems, and an AI agent calling tools across systems is a brand-new surface with no settled control story. Legacy and siloed data mean agents cannot reach data cleanly and the agency cannot prove what was accessed. Out of the box, MCP gives no traceability at all — no record for the AI use-case inventory, the EU deployer's log-retention duty, or the audit-ready answer to "what did the AI see, when, and under what basis." And staff stand up MCP servers ahead of policy, so an unmonitored agent touching citizen data becomes an unlawful blind spot.
That forces a public body to either block MCP and fall behind the efficiency mandate, or allow it and lose control. A governed control point is the third option: one gateway every agent passes through, where access is verified, scoped, inspected, and logged.
```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["🤖
Citizen-service AI assistants"]
A2["🤖
Caseworker & analyst agents"]
GW["🛡️
MCP Manager gateway"]
LOG[("🔐
Backend credentials")]
AUD[("🗄️
Audit log")]
subgraph est["Your systems"]
direction TB
S1["🖥️
Benefits & case management"]
S2["🖥️
Tax & records systems"]
S3["🖥️
Permitting & licensing"]
S4["🖥️
Citizen data & CRM"]
end
A1 -->|"authenticate to
the gateway only"| GW
A2 --> GW
GW -->|"holds backend
credentials"| LOG
GW -->|"inspected & logged"| S1
GW --> S2
GW --> S3
GW --> S4
GW -.->|"every call,
every identity"| AUD
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;
class GW gateway;
class A1,A2 client;
class S1,S2,S3,S4 server;
class LOG,AUD datastore;
style est fill:transparent,stroke:#9ca1ab,stroke-dasharray:4 3,color:#6a6b76;
```
An agent authenticates only to the gateway, and the gateway holds the backend credentials, so a leaked agent key authenticates to nothing. This is the credential-isolation model "agentic zero trust" research extends NIST 800-207 toward.
## The regulatory and policy reality
This audience is not monolithic — US federal, US state and local, EU, and UK public bodies share one demand: agent access to citizen data must be authorized, least-privileged, and provable. Here is what each regime asks of an AI deployment, and what MCP Manager does about it.
* **US federal AI policy (EO 14179, OMB M-25-21 and M-25-22)** — you must maintain an AI use-case inventory, apply risk management to high-impact AI, and guard against vendor lock-in. MCP Manager [inventories every agent, server, and connection](/features/viewing-logs) and sits in front of any model or server as a [model-agnostic control point](/mcp-gateway-concepts/mcp-gateways), so governance does not bind you to one AI provider.
* **The zero-trust mandate (NIST SP 800-207)** — verify every call, enforce least privilege, isolate credentials at the resource. MCP Manager is that policy-enforcement point: [credentials are brokered](/security/authentication-and-identity) so an agent authenticates to the gateway while backend credentials stay behind it, and [capability-based access](/deployment/rbac-and-roles/overview) scopes every identity.
* **EU AI Act deployer duties (Article 26)** — public-body deployers of high-risk systems owe human oversight and must retain system logs for at least six months (with a Fundamental Rights Impact Assessment for certain uses) from August 2026. MCP Manager logs every interaction and [exports it to a store you control](/enterprise/export-to-siem) for retention under your own policy, producing the evidence a FRIA or DPIA needs.
* **GDPR** — citizen data needs a lawful basis, purpose limitation, data minimization, and answerable DSARs. MCP Manager [detects and redacts](/features/pii-filtering) personal data before a model sees it and attributes every access to a real identity.
| Government need or control | What MCP Manager enforces today | What it lets you demonstrate |
| ------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| **Zero trust and credential isolation** (NIST 800-207) | The gateway is one policy-enforcement point with [identity-aware access](/security/authentication-and-identity); the agent authenticates to it, backend credentials stay brokered behind it | "Every call is verified, every identity scoped, every credential isolated. A leaked agent key reaches nothing." |
| **Eliminate shadow MCP; support the AI use-case inventory** | A central [inventory and observability](/features/viewing-logs) of every MCP server, agent, and tool | "Every agent-to-system connection is known, governed, and visible." |
| **Runtime control over what agents do and see** | [Gateway rules](/features/gateway-rules/overview) that allow, block, mask, redact, replace, or hash tool calls and responses, plus [fail-closed tool provisioning](/features/feature-provisioning) | "Policy is enforced at runtime, and unsafe calls are stopped before they execute." |
| **Protect citizen PII and sensitive data** | Inline detection with [regex](/features/gateway-rules/regex) and [Microsoft Presidio](/features/gateway-rules/presidio), with redaction or blocking before a model processes it | "Personal data is detected and stopped in flight, before a model sees it." |
| **Audit-ready traceability** (EU log retention, FRIA, DPIA, GDPR records) | A comprehensive audit log of every call attributed to the real identity, [searchable](/features/viewing-logs) and [exportable to your SIEM](/enterprise/export-to-siem) | "We can answer what the AI accessed, when, and under what basis, and export the evidence." |
| **Avoid vendor lock-in** (M-25-22, EU procurement) | A model- and server-agnostic governance layer in front of any MCP server or AI client | "We govern any agent and any model, rather than locking into one." |
| **Rapid response to policy violations** | Real-time [alerts](/features/alerts) on high-severity events, plus break-glass kill switches that disable a host, connection, or identity instantly | "Privacy and security officers are notified the moment a policy is breached." |
The credential-isolation row is the one a CISO will weigh first: because the gateway brokers identity, a compromised agent key authenticates only to the gateway and never to the systems behind it.
## How MCP Manager governs public-sector AI
* **A zero-trust control point.** Every host and agent connects to one gateway that [brokers identity](/security/authentication-and-identity) with enforced OAuth and PKCE, so backend credentials never live in the client. [SSO through your IdP](/enterprise/sso) and [SCIM 2.0](/enterprise/scim) tie agents and people to your directory, and [capability-based RBAC](/deployment/rbac-and-roles/capabilities) scopes each identity to least privilege.
* **Runtime enforcement.** [Gateway rules](/features/gateway-rules/overview) inspect every message in both directions; five actions — block, redact, replace, mask, hash — apply inline, each set to fail closed if you choose. [Tool provisioning](/features/feature-provisioning) is allow-all, allow-only-if-conditions-are-met, or block-all, and [tool-change protection](/security/feature-governance) pins a tool so a poisoned or altered definition stops at the gateway.
* **Citizen-data protection.** [Microsoft Presidio](/features/gateway-rules/presidio) and [regex](/features/gateway-rules/regex) detect personal data in flight and redact or block it before a model processes it.
* **Audit-ready by design.** Every call is logged with the requesting identity, the tool, the payloads, and the verdict, [searchable](/features/viewing-logs) and [exportable to your own collector](/enterprise/export-to-siem/self-hosted-collector) for retention under your policy. See [Audit & observability](/security/audit-and-observability).
* **What stays in your environment.** Source systems behind [workstation](/mcp-gateway-concepts/mcp-servers/workstation) and [managed](/mcp-gateway-concepts/mcp-servers/managed) servers stay in your infrastructure, rules redact before logging, and you can lock an upstream to MCP Manager's static egress IPs. See [Hosting & data residency](/deployment/hosting-and-data-residency).
## Why Usercentrics
A public body does not bet its compliance posture on a startup with no track record in regulated data.
MCP Manager is built by **Usercentrics**, Europe's largest consent management platform, active in 100+ countries and processing billions of consent signals every month across millions of websites and apps. The company was built inside GDPR, so lawful basis, purpose limitation, data-subject rights, and records of processing are its everyday vocabulary — exactly the framing the EU AI Act and GDPR demand of public-sector deployers. Usercentrics already governs how data is used on the web; MCP Manager extends that governance into AI, which gives a government modernizing both its citizen-facing services and its internal AI one coherent governance story. The platform runs inside Usercentrics' own audited cloud and security program; review its posture at the [Usercentrics trust center](https://trust.usercentrics.com/).
## Further reading
The next industry page — governed agentic commerce.
Identity brokering, OAuth with PKCE, SSO, and SCIM — the zero-trust foundation.
What every call records and how the evidence trail is built.
Where MCP Manager runs and what stays in your own environment.
## External sources
The federal zero-trust reference architecture.
Accelerating federal use of AI through innovation, governance, and public trust.
Annex III high-risk categories and Article 26 deployer obligations.
The reference framework for trustworthy AI.