How is PolicyLayer different from system prompts?

System prompts rely on the model to follow rules, which can be bypassed. PolicyLayer sits outside the model and judges every MCP tool call deterministically at the point of execution, ensuring rules are enforced regardless of the model's behavior.

What MCP servers does PolicyLayer work with?

PolicyLayer works with any MCP server, including public servers from the Registry, custom HTTP endpoints, and popular services like GitHub, Stripe, and AWS. It supports all standard MCP tools.

Do I need to change my agent to use PolicyLayer?

No. You simply connect your agent using the proxy URL and grant token provided by PolicyLayer. No code changes, SDK installations, or infrastructure deployment are needed.

How does PolicyLayer handle credentials and security?

Upstream credentials are encrypted with AES-256-GCM at the column level and are never retrievable after entry. They are decrypted only when calling the upstream server. The platform is fail-closed, meaning ambiguous states default to deny, and audit logs are append-only and immutable.

Is PolicyLayer really free, and what happens when paid plans launch?

Yes, PolicyLayer is currently free with no card required and no limits on features. When paid plans launch in the future, early users will retain generous limits and can choose to upgrade for additional enterprise features like SSO, SIEM streaming, and dedicated deployment.

PolicyLayer

Updated Jul 26, 2026

Ship AI agents with confidence. Allow, require approval, or deny any MCP tool call. No SDK, no infrastructure. Start free.

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Editor's Verdict

Rating: 4.5/5.0•Reviewed by RAGWiki

At Free, PolicyLayer stands out as a powerful solution in the developer tools,business landscape. It is especially well-suited for professionals like AI Engineer and Security Analyst. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid early stage platform. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

Tool-Call Control
Identity and Scoped Grants
Deterministic Policy
Human Approval Workflows

In-Depth Review: What is PolicyLayer?

PolicyLayer is a control plane for MCP fleets that intercepts every tool call before execution, enforcing deterministic policies based on identity, tool, and arguments. It supports observation-first mode, human approval workflows, immutable audit logs, and encrypted credential management—all without requiring changes to your agent or codebase.

Core Features

Tool-Call Control

Allow, require approval, or deny every MCP tool call before it executes, giving you granular control over agent actions.

Identity and Scoped Grants

Issue distinctive grants to people and agents, ensuring every call is attributable and authorized via a single upstream credential.

Deterministic Policy

Policy evaluates the exact tool, caller, and arguments, producing the same decision every time for consistent enforcement.

Human Approval Workflows

Flag high-risk or consequential actions to require a human authorized person to approve before execution.

Decision Evidence & Audit

Every verdict records the grant, policy version, and matching rule in an immutable append-only audit log, with argument values excluded by default.

Zero-Infrastructure Setup

Connect any MCP server using a proxy URL and grant token—no SDKs, agents changes, or infrastructure to deploy.

Observe Mode

Start by monitoring real calls without enforcing any rules, then gradually apply policies based on observed behavior.

Policy Intelligence from Registry

Leverage continuously classified risk levels and pre-built policies from the MCP Registry to kickstart your governance.

Pricing

Free

Unlimited MCP servers
Unlimited active policies
Unlimited dashboard members
Unlimited scoped grants
90-day audit retention
Full policy engine: allow, deny, rate limits, argument-level rules, tool hiding
Approval workflows
Denial alerts via email, Slack, webhooks
Fleet analytics
Audit export in CSV and JSON
Dashboard roles: admin, policy manager, viewer

Enterprise

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SAML and OIDC SSO with JIT provisioning
SIEM streaming and custom audit retention
Dedicated, private, or own cloud deployment
Uptime SLA, MSA, DPA, security review
Custom roles and IP allowlisting
Dedicated onboarding and named support contact

Pros and Cons

Pros

No Code RequiredSet up in minutes without changing your agent code, SDKs, or infrastructure.
Works with Major AI AgentsCompatible with Claude Code, Cursor, Codex, GitHub Copilot, VS Code, Gemini, and more.
Deterministic SecurityPolicy applies consistently across all calls, preventing unpredictable behavior.
Fail-Closed ArchitectureAmbiguous grant or policy states default to deny, ensuring safety.
Free While EarlyFull platform access at no cost, with no card required and no feature limits.

Cons

Early Stage PlatformStill evolving; paid plans are planned for the future, though early users retain generous limits.
Requires MCP EcosystemDesigned specifically for Model Context Protocol (MCP) servers; not for other agent frameworks.
Policy Management OverheadSetting up grants and policies adds initial complexity, especially for non-technical users.
Limited Free Audit RetentionOnly 90-day log retention on the free plan; longer retention requires enterprise contact.
Learning Curve for Advanced RulesArgument-level policies and custom approval workflows may require understanding of the policy language.

Use Cases & Recommended Professions

AI Engineer→ View Toolkit

Needs to deploy and control AI agents in production, ensuring tool calls are safe and compliant.

Security Analyst→ View Toolkit

Requires visibility and enforcement of MCP tool calls to prevent unauthorized actions and data leaks.

Compliance Officer→ View Toolkit

Must audit agent behavior and ensure adherence to regulatory standards with immutable decision logs.

DevOps Engineer→ View Toolkit

Manages agent infrastructure and needs zero-code integration to enforce policies without disrupting workflows.

AI Product Manager→ View Toolkit

Wants to ship agents quickly while maintaining control and safety for end users.

Software Developer→ View Toolkit

Builds agent-based applications and needs a simple way to govern tool usage without building custom middleware.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of PolicyLayer were synthesized using AI and fact-checked by our curation team to ensure accuracy.