Fenzi
use cases, for platform teams

One policy.Every laptop.

Publish the rules once, set up a new laptop with one sign-in, and let one approval answer the whole team. The agents still run on your machines.

curl -fsSL https://fenzi.dev/install.sh | sh

Linux, Apple Silicon, WSL 2. Free at work too.

See how it works
Missions
BriefingThe failures you have seenPlayer The platform team
ordinary problems

Engineering answers to problems you have already had.

Each card opens the mission that answers it.

the new laptop

Day one starts from zero.

Each developer wires up servers, hosts and rules by hand, and no two laptops match.

Mission 2

the rebuild

Set it all up again.

A new agent means new MCP servers, new keys and new rules, typed in from memory.

Mission 5

the mcp setup

Every tool, wide open.

The server's token sits in a config file the agent can read, and every tool it offers is allowed.

Mission 4

Start the missions

Mission 1One policy on every laptopPlan Team
signed revisions

Publish once. Every laptop takes it.

An admin publishes one policy for the team: hosts, paths, MCP servers, and the agents it covers. Each revision is checked by the prover, numbered and signed, and a machine ignores a bundle that fails the signature or is older than the one it holds.

fenzi policy publish team.yamlfenzi sync

Publish and revisions

What a revision changes
You changedRunning sandboxes
HostsLoad the new hosts on the machine's next sync or forwarder pass.
Paths, workspace access, agentsKeep the old revision. The next fenzi run creates a new sandbox.

Walls before move-in. Doors while it runs.

Mission 2A new laptop, set upPlan Team
onboarding

A new teammate is set up after one sign-in.

fenzi login signs the machine in, and the next fenzi run uses the team's policy, MCP servers included, with any agent the policy covers. Nobody copies a config by hand, and every laptop starts from the same revision.

Each developer stores their own model key on their own machine. It never reaches our cloud.

Enroll machines Many machines

fenzi login, example
open https://fenzi.dev/device code KQXT-MRWD signed in dana@acme.dev, team acme machine dana-mbp, enrolled policy acme r1, verified and cached
Mission 3One yes for the whole teamPlan Team
ask once, for everyone

One developer asks. The whole team stops asking.

A request travels out from the machine to the console; nothing in our cloud connects in. The reviewer sees the machine, the host, the program and the agent's reason, never the code or the conversation.

Approve and add to policy opens the host for that sandbox within seconds and drafts the next revision with it, so once an admin publishes it, every laptop has the host.

Approve and add to policy

Two ways to say yes
ApproveApprove and add to policy
Who canAn admin or a reviewerAn admin
The sandbox that askedGets the host at its next forwarder passThe same
Every other laptopNo changeGets the host once the draft is published
Mission 4MCP servers, per toolPlan Free
mcp, per tool

Connect every MCP server you use. Allow only the tools you mean.

List each server once in fenzi.yaml, with the tools the agent may call. Fenzi writes it into each agent's own config format, and the sandbox checks every remote call against that list.

A server's token is stored with fenzi mcp token, outside the sandbox. The agent holds a placeholder, and the real token goes only to that server. fenzi mcp import starts you from the .mcp.json you already have.

fenzi mcp importfenzi mcp addfenzi mcp token

MCP servers What the sandbox checks

fenzi.yaml
mcp: deepwiki: url: https://mcp.deepwiki.com/mcp tools: allow: [read_wiki_structure] linear: url: https://mcp.linear.app/mcp token: true tools: allow: [list_issues, get_issue, create_comment] deny: [delete_issue]
fenzi log, excerpt
allowed POST mcp.deepwiki.com/mcp tools/list allowed POST mcp.deepwiki.com/mcp tools/call read_wiki_structure denied POST mcp.deepwiki.com/mcp tools/call read_wiki_contents
claude's connectors

Your claude.ai connectors, one tool at a time.

The connectors you added on claude.ai come with your Claude sign-in and share one Anthropic host. Without an entry the sandbox refuses that host. With one, it checks every call against the tool names you list.

fenzi mcp add claude-ai --claude-account --tool list_issues --tool get_issue

Claude's account connectors

Mission 5One setup for every agentPlan Free
set it up once

Your MCP servers, keys and rules outlive the agent you picked.

Servers you use everywhere go in one file on the machine. Keys and tokens are stored once, outside every sandbox. The project's rules live in fenzi.yaml, committed, so everyone on the project runs with them.

Switch from one agent to another and all of it comes along. Nothing is configured twice.

Claude's account connectors go to Claude Code only. A local server's secret reaches Claude Code and Codex today; OpenCode and Grok refuse it until it is tested.

For every project, or one Model keys

Set once, used by every agent
WhatSet withLives in
MCP servers for every projectfenzi mcp add --machine~/.config/fenzi/mcp.yaml
MCP tokens and secretsfenzi mcp tokenThe sandbox runtime on this machine
Model keysfenzi key setThe sandbox runtime on this machine
The project's rulesfenzi initfenzi.yaml, committed
Mission 6Four rolesPlan Team
who holds the button

Four roles. Only admins change the rules.

Every member has exactly one role. Developers run agents, reviewers also answer requests, admins also publish and manage members, and auditors read and export without ever enrolling a machine.

An admin or reviewer can approve a request their own agent filed, and the console records who approved it. Members sign in with email and password, plus MFA with an authenticator app, which an admin can require. SSO is not on Team.

Team roles

Who can do what
RightAdminReviewerDeveloperAuditor
Read the console, export decisionsyesyesyesyes
Sign in their own machineyesyesyesno
Answer a requestyesyesnono
Publish, set the boundaryyesnonono
Invite members, change rolesyesnonono
Level selectThe other use cases
same walls, other seats

The same sandbox, seen from another seat.

for developers

Your agent at full speed, inside the walls.

For developers

All use cases and every feature with its docs page.

PlansFree and TeamSandbox hours Not billed
price

You pay for the fleet, not for sandbox hours.

Free

$0 Per machine. No account.

Fine at work, on each developer's own laptop.

Install it

Team

$20 Per developer a month, billed yearly.

$25 billed monthly, two developers at least. One policy, one log and one approval queue across every laptop. Machines and sandbox hours are not counted.

Request access

Price has every plan side by side.

One line to install. One command to run.

curl -fsSL https://fenzi.dev/install.sh | sh

Free per machine. No account. The model does not get a vote on its own limits.