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PolicyLayer vs Cloudflare

Both put a centralised gateway in front of multiple MCP servers, but they enforce at different layers. Cloudflare hosts remote MCP servers on Workers, controls who reaches which server with Zero Trust Access, and meters LLM cost with AI Gateway. PolicyLayer governs what happens once a call gets through: every tool call checked against deterministic, argument-level rules before it runs. Here is where each one fits.

GOVERN YOUR MCP CALLS → Instant setup, no code required.

The short version.

Cloudflare decides that Alice may reach the payments server and Bob may not. PolicyLayer decides that Alice may call refund_payment only when the amount is under $100. Different controls, often complementary.

PolicyLayer

PolicyLayer is the hosted gateway your MCP traffic runs through. Connect your servers and every tool call is checked against deterministic, deny-by-default policy before it executes: allow, deny, rate-limit, or require approval, with argument-level rules, per-identity scopes, and a per-call audit log. It enforces over any registered upstream, including community servers you did not build, and ships recommended policy pre-classified across 220,000+ catalogued tools.

Cloudflare
Hosting, perimeter access, and AI Gateway for MCP

Cloudflare is an infrastructure platform that hosts and secures MCP. It builds and hosts remote MCP servers on Workers, aggregates them behind MCP Server Portals, gates access with Zero Trust (Access policies, MFA, device posture, geo), moderates content with AI Gateway Guardrails (Llama Guard), and meters LLM cost. Its identity story is mature: an OAuth 2.1 provider library and integration with GitHub, Google, Auth0, WorkOS, and other OAuth providers.

Side by side.

An infrastructure and perimeter platform, versus a per-call policy layer.

  PolicyLayer Cloudflare
Enforcement layer The tool call: deterministic rules evaluated before it executes The perimeter: who reaches which server, plus content moderation and DLP
Tool control Per-call policy: allow, deny, rate-limit, or approve on the call and its arguments Binary tool enable, disable, alias, namespace, or allowlist in a portal
Granularity Per tool and per argument (allow refund_payment only when amount is under $100) Per tool and per identity; arguments are not surfaced in the portal
Approvals Human approval gates on any call Not present in the published architecture
Identity Per-person scoped grant tokens that constrain what a person does inside a tool Mature: OAuth 2.1 provider, Access, MFA, device posture, deciding who reaches a server
Hosting Routes the servers you already run; does not host them Builds and hosts remote MCP servers on Workers and Durable Objects
Content and cost Out of scope; a token-cost directory provides context Guardrails via Llama Guard, DLP, and LLM token metering and caching
Audit Every call logged with the tool, its arguments, and the decision Portal logging (time, status, server, tool, duration); Logpush to SIEM on Enterprise
Deployment Hosted control plane; point your client at a URL, live in minutes Cloudflare Workers and Cloudflare One; strongest controls inside Zero Trust
Best fit Teams who need control on what each call does, across servers they do not own Teams already on Cloudflare who want to host and gate MCP at the perimeter

Where each one fits.

Choose PolicyLayer when

Your decision depends on the contents of the call

Not just who made it: allow a refund tool only below a threshold, or restrict a query tool to certain datasets, with the rule evaluated on every call.

You want approval gates and argument rules

Sensitive calls wait for human sign-off, and rules read the call's arguments, neither of which a portal tool toggle expresses.

You enforce over servers you did not build

Deterministic policy over any registered upstream, including community and third-party servers you cannot modify.

You want a per-call audit trail

A log that reflects the arguments evaluated and the decision made, not just tool name and status.

Choose Cloudflare when

You want to host your own MCP servers

A turnkey OAuth provider, Workers, and Durable Objects on a mature global network, especially if you already run on Cloudflare.

Perimeter access is your security model

Deterministic allow or deny on who reaches which server, with MFA, device posture, and geo, satisfies your requirement.

You want LLM cost control and content moderation

Token metering, caching, routing, and Guardrails bundled into one platform.

Using both

For most teams these are complementary. A realistic architecture runs Cloudflare for hosting, perimeter identity, and cost control, with PolicyLayer providing deterministic per-call policy on top, including over community servers you did not build. The one thing worth naming: portal tool toggles plus Access plus DLP is coarse-grained gating and content matching, not per-call argument-level enforcement.

Deterministic, argument-level policy on every MCP tool call, over any server you route. Live in minutes.

Not just rules. A platform.

Whatever your agents touch, the same engine, audit, and access model is doing the work underneath every rule you write.

Deterministic engine

Rules run as code, not model judgement: argument-level conditions, quotas, deny-by-default. The same call gets the same decision every time.

Writing policies →

Separation of duties

Your security or compliance team writes and attaches policy without ever holding the upstream credentials or grant tokens.

Roles →

Tamper-proof audit

Every call is logged with its decision and the rule that fired, attributed to the identity, in an append-only record. Argument values are redacted, never stored.

Logs & security →

Credentials never reach the agent

Upstream secrets are encrypted at rest and injected by the gateway. The agent only ever holds a scoped token.

Logs & security →

Per-identity access

Every person and agent connects with its own scoped grant. Rotate or revoke any one of them instantly, without disrupting the rest.

Core concepts →

Live in minutes

Hosted gateway. Point your clients at it, register a server, issue a token. Nothing to install.

Quick start →

PolicyLayer and Cloudflare questions.

Does Cloudflare do per-argument policy?+

Cloudflare's portal control is tool enable or disable plus identity-based access; the dashboard does not surface individual tool-call arguments. PolicyLayer evaluates the call and its arguments: allow a refund only below a limit, block a DELETE without a WHERE clause, require approval.

Can I use PolicyLayer with Cloudflare?+

Yes. Cloudflare can host your MCP servers, gate the perimeter, and meter cost, while PolicyLayer enforces deterministic per-call policy on the traffic, including over servers you did not build.

Do I need to host my servers on Cloudflare to use PolicyLayer?+

No. PolicyLayer routes the servers you already run, wherever they live. It is a policy layer, not a hosting platform.

Is Cloudflare's DLP the same as policy?+

No. DLP matches patterns in payloads. PolicyLayer evaluates the structured arguments of a tool call against deterministic rules and decides whether it runs.

Govern the call not just the perimeter.

Deterministic, deny-by-default policy on every MCP tool call: approval gates, per-identity scopes, argument-level rules, and a tamper-proof audit log, over any server you route. Live in minutes.

Instant setup, no code required.

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