Enterprise MCP gateway

The governed MCP gateway for enterprise AI agents.

Secure every MCP server with one governed gateway. Give each AI agent its own scoped MCP access, contain credentials at the gateway, and audit every MCP tool call without wiring agents directly to each server.

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The governed MCP gateway for enterprise AI agents.
Trusted by teams securing AI in production
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What goes wrong without an MCP gateway.

AI agents wired directly to MCP servers fail in predictable, security-visible ways. Each one is an enterprise AI deal-blocker waiting to surface.

Token sprawl across agents

Every agent holds its own credentials to every MCP server. One leak compromises the whole MCP surface.

All-or-nothing tool access

Direct MCP connections expose every tool on the server. No way to scope an agent to only what it needs.

Shadow MCP connections

Teams wire new agents to new MCP servers without review. Security cannot see what is reachable from where.

No audit trail for tool calls

Direct MCP connections leave no central record of what each agent called. Incidents become reconstructions, not investigations.

MCP Gateway
RecordsPaymentsEmail
Support agent
Payments agent
Analytics agent
Scoped tools per agent, enforced on every call.

Per-agent MCP permissions

Per-agent MCP permissions, scoped to your policy.

Define MCP tool permissions in one place instead of minting an auth token per agent per tool. Each agent, team, or workflow gets the scoped set of tools you approve, and the gateway enforces it on every MCP tool call.

MCP Gateway

Stripe API

key held at gateway

Secured

GitHub

token held at gateway

Secured

Agent runtime

no raw credentials

No keys
Agents authenticate through the gateway, never hold credentials.

MCP authentication

MCP credentials stay at the gateway, never in the agent.

MCP credentials live at the gateway, not in agent prompts or code. Averta authenticates to each MCP server on the agent's behalf and scopes access per request, so a compromised agent never gives up your tokens.

MCP Registry · one endpoint

Remote MCP servers

vendor tools

Connected

Self-hosted servers

your infrastructure

Connected

Custom tools

internal APIs

Connected
Agents point at one Averta endpoint, not a sprawl of connections.

MCP registry

One MCP proxy for every server.

Remote MCP servers, self-hosted MCP servers, and custom tools all sit behind one Averta MCP gateway endpoint. Agents point at one governed proxy instead of a sprawl of direct MCP connections, and you version tools without touching agent code.

Connects with your favorite MCP servers.

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Github logoGithub
Stripe logoStripe
Slack logoSlack
Airtable logoAirtable
Hubspot logoHubspot
Linear logoLinear
Notion logoNotion
Google Drive logoGoogle Drive
Zapier logoZapier
Intercom logoIntercom
Asana logoAsana
Mailchimp logoMailchimp
Your own logoYour own

Safe and customizable, without compromises.

Keep your data E2E encrypted

Protect agent workflows with end-to-end encryption, real-time redaction, and policy checks that block unsafe behavior in milliseconds while approved work keeps moving.

Policy-driven security

Define how agents handle data, tools, and decisions once. Averta applies those rules across every prompt, response, and action.

Adaptive data controls

Tune policies by team, use case, customer state, risk level, and tool permission without hardcoding guardrails into every agent.

What security teams are saying.

Before we started using Averta, we were hesitant to share sensitive information with agents. Averta changed that by providing the security and trust we needed, allowing us to significantly enhance our customer service experience.
Amir HaleemAmir HaleemFounder atHeliumHelium

The decision layer in front of every action.

Classification, policy, access control, and audit working together as one AI agent security platform, protecting your agents internally and in production.

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Classification Engine
Classification Engine

Score every prompt for risk.

AI guardrails that score every prompt, tool call, and output for intent and risk before your model acts.

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Tool Policies Framework
Tool Policies Framework

Govern every tool call.

AI agent governance: define what each agent is allowed to do, enforce it on every tool call, attribution included.

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Audit & Observability
Audit & Observability

Every interaction recorded.

An AI audit trail of every prompt, tool call, decision, and output. Replay-ready, regulator-ready.

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Averta Red Teaming
Averta Red Teaming

Pressure-test your agents.

Adversarial campaigns that simulate prompt injection, tool abuse, and data exfiltration on your production agents.

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MCP Gateway, specifics.

What platform and security teams ask before they route agent tool calls through an MCP gateway

An MCP gateway is a security and governance layer that sits between AI agents and the MCP servers they use. Instead of each agent connecting directly to each MCP server with its own credentials, the gateway exposes a single governed endpoint, enforces per-agent tool permissions, holds the downstream MCP credentials, and produces an audit trail for every tool call.

A direct connection gives every agent unchecked access to every server. The gateway puts one governed point in between: approved tools only, policy before execution, result scanning, and a full audit trail. Agents get the tools they need without holding the keys to everything.

Yes. Remote MCP servers, servers you host yourself, and your own custom tools all sit behind one Averta endpoint. Agents connect to the gateway, not to each server.

Credentials for downstream tools live at the gateway, not in agent prompts or code. Averta authenticates to each connected server on the agent's behalf and scopes access per request.

Yes. Tool exposure is scoped per agent, team, or workflow. An agent only sees the tools you have approved for it, and anything else is invisible.

An LLM gateway routes model traffic. The Averta MCP Gateway governs tool execution: which tools an agent can call, whether a given call is allowed, and what the result contains. They solve different layers, and you can run both.

Checks run inline on the call path. The gateway is built to stay in front of every call without becoming the reason a workflow is slow.

Yes. The gateway sits at the tool-execution boundary, independent of model and framework. Switching models or frameworks does not change how tools are exposed or governed.

See Averta OS in action

Book a demo and see how Averta OS secures your AI agents from input to execution.

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