MCP Security Layer for AI Agents

Your AI Agents Are Powerful.Make Sure They're Safe.

GovernMCP adds granular access control, action approvals, and safety guardrails to any MCP-connected AI agent. Stay in control without slowing down.

The Problem with Unchecked AI Agents

When you connect an AI agent to MCP servers, it gets access to everything. That's a risk you can't afford.

Unrestricted API Access

Your agent has full read/write access to every connected tool. One bad prompt and it can delete repos, send emails, or modify production data.

No Approval Flow

Sensitive actions like deployments, transfers, and deletions execute instantly without any human review. By the time you notice, the damage is done.

Blind Trust

No audit trail of what your agent did or why. No visibility into which tools were called, what data was accessed, or what changes were made.

Take Back Control

Three layers of security between your AI agent and the tools it uses

Granular API Access Control

Define exactly which MCP tools and endpoints each agent can access. Set read-only vs read-write permissions. Scope by resource, action, or parameter.

  • Per-tool permission policies
  • Read-only vs read-write scoping
  • Dashboard-based configuration
CORE FEATURE

Action Approval Workflows

Flag sensitive actions for human review before execution. Approve or deny from your dashboard or Slack. Configurable rules per tool and action type.

  • Human-in-the-loop approvals
  • Slack & dashboard notifications
  • Configurable approval rules

Partial Autonomy, Full Visibility

Let agents handle routine tasks autonomously while requiring oversight for high-risk actions. Full audit log of every action taken.

  • Risk-based action tiers
  • Complete audit trail
  • Real-time activity dashboard

How It Works

Connect your tools, set permissions per action, and let your agents work safely

1

Add Integration

Connect your tools — GitHub, Jira, Slack, AWS, databases, and more. Just add your API key.

2

Set Permissions

For each action, choose: auto-allow, require approval, or deny. Configure everything from the dashboard.

3

Agents Work

Your agents operate freely within the boundaries you set. Low-risk actions flow through. High-risk actions get flagged.

4

Review & Approve

Approve flagged actions from the dashboard or Slack. Review the full audit log of everything your agents do.

Built for Developers

MCP Native

Built on the Model Context Protocol. Works with the standard you already use.

Any MCP Client

Works with Cline, Claude Desktop, custom agents, or any MCP-compatible client.

Audit & Compliance

Full audit logs of every agent action. Export reports for compliance reviews.

Simple, Transparent Pricing

Start free. Scale when you need to.

Free

For individuals getting started

$0/month
  • 30 actions per day
  • Granular access control
  • Action approval workflows
  • Audit logs
Get Started Free
POPULAR

Starter

For developers shipping daily

$9/month
  • 300 actions per day
  • Everything in Free
  • Priority support
  • Unlimited integrations
Get Started

Advanced

For power users and teams

$19/month
  • 1,000 actions per day
  • Everything in Starter
  • Slack integration
  • Compliance reports
Get Started

Take Control of Your AI Agents

Don't give your AI agents the keys to everything. Set boundaries, require approvals, and maintain full visibility.

Get Started