It's time to fix that.
Watch how ScopeGate gives your AI agents exactly the access they need — nothing more.
of organizations experienced AI agent security incidents
of MCP servers are over-permissioned by default
of companies have any AI security controls in place
monthly MCP SDK downloads and growing 58× year-over-year
Sources: Gravitee State of AI Agent Security 2026 · Clutch Security · MCP Anniversary Blog · Noma Security
The problem
Authorization is evaluated against the agent's identity, not the requester's. Traditional security controls are insufficient for autonomous agents that reason instead of execute.
MCP servers request broad OAuth scopes with no mechanism to restrict what each individual AI agent can actually do. Agent A and Agent B both get full access — or nothing at all.
Who can tell you what your AI agent did at 3am? MCP has no standardized logging. If something goes wrong — a deletion, an unauthorized send — you have no way to reconstruct it.
When you need to cut off an agent, you're hunting through Google IAM, Slack settings, Notion, and GitHub separately. There's no single kill-switch that works across all services.
Agents quietly accumulate permissions as their scope expands. Integrations are added, roles change, teams come and go — but the agent's access remains.
— The Hacker News, “Who Approved This Agent?”
How it works
No Kubernetes. No procurement cycle. No mandatory sales call. Just connect, configure, and ship.
One-click OAuth to connect Google Drive, Gmail, Calendar, Slack, Notion, Stripe and 20+ more. No manual token management.
OAuth 2.0 · Auto token refresh · Encrypted at rest
Toggle exactly which actions an agent may call: list and read files but never delete, send mail but never read the inbox. Everything is off until you switch it on.
Per-endpoint · Per-action · Default deny · Rate limits
A unique, scoped MCP endpoint URL is generated. Paste it into your agent config. The proxy handles enforcement, logging, and revocation.
Instant activation · Works with any MCP client · Audit trail live
Features
Every agent gets its own permission profile. Each individual action is a separate toggle, and everything is off until you switch it on. Not team-level. Not org-level. Per agent.
| Agent | Drive | Gmail | Calendar |
|---|---|---|---|
| sales-assistant | list + read | send only | list only |
| hr-bot | list only | — | list + create |
| dev-agent | — | — | — |
No Kubernetes. No Entra ID. No platform team. One OAuth click, one config line, one MCP URL. You’re live.
One click. All services. The proxy stops forwarding immediately — no waiting for OAuth tokens to expire.
Every tool call logged: action, params, status, error, duration. Queryable, exportable, and retention-configurable.
Integrations
Each integration is a scoped MCP endpoint. Add a new service in seconds.
Don't see your service? Request an integration →
Pricing
Get started with one agent, no card needed.
For solo developers shipping production agents.
For teams with multiple agents and shared governance.
Custom limits, compliance, and dedicated support.
All plans include TLS encryption, encrypted credential storage, and GDPR-compliant data handling. A contractual uptime SLA is part of the Enterprise plan.
Prefer to self-host? →
FAQ
MCP (Model Context Protocol) is Anthropic's open standard that lets AI agents call external tools — read files, send emails, query databases. By design, MCP servers request broad OAuth scopes with no built-in mechanism to restrict access per agent. ScopeGate sits in front of your MCP servers and enforces fine-grained, per-agent permissions so each agent can only do exactly what it's supposed to.
OAuth scopes are binary: an app either has access or it doesn't. ScopeGate adds a second layer on top — every individual action is a separate toggle, and everything is off until you switch it on. List and read Drive files but never delete. Send Gmail but never read the inbox. Read the calendar but never write to it. Each endpoint also carries its own requests-per-minute limit, and revoking an agent is one click that takes effect immediately, without touching OAuth at all.
On ScopeGate Cloud, yes — ScopeGate acts as a transparent proxy. Tool call requests from your agent route through our infrastructure, are checked against your permission policy, and forwarded to the target service. We log metadata (action, params, status, duration) but do not store the actual payload contents. Self-host it and nothing leaves your own infrastructure.
Yes. The core ScopeGate engine is open-source (MIT license) and available at github.com/alifanov/scopegate. You can run it yourself with no usage limits. ScopeGate Cloud adds hosted reliability, managed upgrades and paid plans on top of the same codebase. Self-hosting instructions are in the repository README.
27 services: Gmail, Google Calendar, Google Drive, Google Ads, Google Search Console, Google Tag Manager, YouTube, Slack, Notion, GitHub, Jira, Salesforce, HubSpot, Airtable, Calendly, Stripe, Telegram, X/Twitter, X/Twitter Ads, LinkedIn, Meta Ads, Instagram, Threads, Ahrefs, Semrush, OpenRouter and generic email over IMAP/SMTP. We add new integrations every few weeks — request one on GitHub if yours is missing.
We are actively pursuing SOC 2 Type II certification (expected Q3 2026). Enterprise customers receive a copy of our security questionnaire responses, penetration test results, and data processing agreement. The audit log format is designed to support SOC 2 and EU AI Act Article 13 transparency requirements out of the box.
Still have questions? Email us →
Guides on MCP security, AI agent permissions, and building safer agentic systems.
The principle of least privilege — giving each system only the minimum access it needs — is one of the oldest rules in security. AI agents violate it by default: they receive broad OAuth scopes, share credential pools, and have no per-agent permission boundaries. This guide explains why least privilege is harder for AI agents than for traditional software, provides a 10-point implementation checklist for MCP-based systems, and shows how to enforce it without rebuilding your infrastructure from scratch.
An MCP gateway sits between AI agents and external services, enforcing authentication, granular permissions, rate limiting, and audit logging on every tool call. With 97M+ MCP SDK downloads and 88% of organizations reporting AI agent security incidents, deploying an MCP gateway is no longer optional -- it is table stakes for production AI systems.
Docker MCP Gateway is an open-source project that lets you run MCP servers inside Docker containers, providing process isolation and a catalog-based discovery system for AI agents. It simplifies setup but does not solve permission-level security -- for granular per-agent scope control, you need a dedicated MCP proxy like ScopeGate on top.
Connect a service, toggle the actions you allow, and hand your agent a scoped MCP endpoint. Every call logged, revocable in one click.