Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

AI agent governance

Decide which tools each AI agent can call.

Decide which tools each AI agent can call.

Block the rest.

Block the rest.

Bring agents from Microsoft Copilot Studio, Claude and your own code into one place, approve what each one may use, and block the rest before it runs.

Bring agents from Microsoft Copilot Studio, Claude and your own code into one place, approve what each one may use, and block the rest before it runs.

A policy document can’t stop a tool call.

A policy document can’t stop a tool call.

A policy document can’t stop a tool call.

Autonomy

Agents don’t wait for review

Agents don’t wait for review

They send emails, update records and call tools without a person in the loop. Checking the output afterward is too late.

Sprawl

Agents are built everywhere

Agents are built everywhere

Teams build them in Copilot Studio, run them in Claude and deploy them on their own servers. They rarely end up in one list.

Evidence

Auditors ask what happened

Auditors ask what happened

They want to see what an agent tried to do, and what was stopped.

One set of rules for every agent you connect.

One set of rules for every agent you connect.

One set of rules for every agent you connect.

01

Discover

01

Discover

See every agent in one place.

Connect Microsoft Copilot Studio, Claude Enterprise and your own servers

See each agent with the environment it runs in and the tools it uses

Register an agent to add it to your AI inventory and send its tools for review

02

Control

02

Control

Decide what each agent can call.

Group approved services and tools, then assign the group to any number of agents

Change a group once and every agent assigned to it changes with it

Enzai checks each call before it runs, including next to your agents on your own servers

03

Monitor

03

Monitor

See what each agent tried, and what was stopped.

Every agent session in one view, from Claude and your own agents

Each blocked or failed tool call, with the agent, user and environment

Running sessions and blocked calls this week, at a glance

01

Discover

See every agent in one place.

Connect Microsoft Copilot Studio, Claude Enterprise and your own servers

See each agent with the environment it runs in and the tools it uses

Register an agent to add it to your AI inventory and send its tools for review

02

Control

03

Monitor

When an agent hits a limit.

When an agent hits a limit.

When an agent hits a limit.

  1. It calls a tool it isn’t approved for

    An agent reaches for a service outside its approved group.

  2. Enzai blocks the call

    Before it runs, including on your own servers. Agents that check with Enzai first are told “Denied by governance policy.”

  3. The agent asks for access

    It gives a reason, and a person approves or rejects it in Enzai.

  4. The decision is logged

    The attempt, the request and the decision stay on the record.

Why it matters

An agent can do anything its access allows. Give it more than its task needs, and one planted instruction is enough to misuse it.1 Let it act with a person’s login, and the record names the person, not the agent.2 And if it’s part of a high-risk system, the law will expect someone who can stop it, and logs kept for at least six months.3 So govern the access.

Questions buyers ask

Questions buyers ask

Questions buyers ask

What is AI agent governance?

AI agent governance means deciding which tools and services autonomous AI agents may use, enforcing those limits while they run, and keeping evidence of every decision. It covers what an agent does, not just what a model says.

Which agent platforms does Enzai work with?

Microsoft Copilot Studio, where Enzai discovers the agents your teams build; Claude Enterprise, where it imports Claude Code and Cowork sessions and the tools they call; and agents on your own servers. Any MCP-compatible agent can also check its approvals through the Enzai MCP server.

Where does Enzai enforce the rules?

Before each call runs, next to your agents, including on your own servers and clusters. There, you block direct outbound traffic so agent calls go through Enzai.

What happens if Enzai can’t be reached?

If Enzai is enforcing controls when it loses its connection, it blocks AI traffic by default until it reconnects. You can choose to keep applying the rules it already has instead.

Does Enzai see our prompts?

Not by default. Prompts stay private unless you choose to share metadata only, a redacted prompt or the full prompt.

How do we get started?

Connect one platform, register the agents you find, and approve their services group by group.

Decide what your agents are allowed to call.

Decide what your agents are allowed to call.

Decide what your agents are allowed to call.

Then prove it to an auditor.

Then prove it to an auditor.

Then prove it to an auditor.

Book a demo and we’ll show you how Enzai finds your agents, sets what each one can call and blocks the rest.

Book a demo and we’ll show you how Enzai finds your agents, sets what each one can call and blocks the rest.