How to Deploy Google Antigravity MCP? 2026 Cloud Mac Permission Configuration and Acceptance

A single read-only tool is the safest first checkpoint for Google Antigravity MCP deployment. The official Google Antigravity Agent documentation confirms that Antigravity supports MCP Server management, remote MCP connections, and permission controls. The recommended action is therefore clear: use an isolated cloud Mac, register one explicit remote MCP endpoint, allow one read-only tool, and confirm each permission before expanding access. Do not start with a global MCP wildcard in a production workspace.

This guide is for developers moving Google Antigravity from a local trial to a cloud Mac, engineers connecting MCP tools to an automated workflow, and technical leads reviewing a shared Agent environment. It also helps teams compare a local Mac with a remote development workspace before committing to a longer-running setup.

Deployment timeline

The deployment should be treated as a controlled sequence rather than a single configuration task:

Before the first connection: confirm the Mac workspace, network route, credentials, environment variables, and project directory.
At the first connection: register one remote MCP Server with an explicit URL and a narrow tool allowlist.
At the first tool call: use a read-only query and capture the request, response, error, and session state.
Before wider access: separate file, command, and MCP permissions, then test each category independently.
Before team use: version the configuration, rotate secrets, review new servers, and define rollback rules.

This timeline matters because a failed Agent task can have several unrelated causes. Model reasoning, MCP service behavior, authentication, network egress, and the remote Mac session must not be treated as one failure domain.

Preflight checks

Cloud Mac workspace

The cloud Mac should have a stable project directory and a known working directory for the Antigravity session. Confirm that the account running the Agent can read the project, create temporary files where required, and access the intended configuration location. A shared workspace should not expose unrelated repositories, personal documents, credential files, or deployment keys.

A cloud Mac is useful for an isolated test because its project boundary can be narrower than a general-purpose workstation. It is not automatically safe, however. Any process with broad file or command access may still reach sensitive material that happens to be mounted in the same environment.

Use Vuncloud’s cloud Mac rental information to compare the type of remote Mac workspace available for testing. The relevant question is not only whether the machine starts Antigravity. It is whether the workspace can be created with the right project boundary, access method, and lifecycle controls.

Network and remote endpoint

The MCP endpoint must be reachable from the cloud Mac, not merely from a developer’s local network. Check DNS resolution, outbound firewall rules, proxy requirements, TLS handling, and any IP restrictions applied by the remote service. If the service uses an allowlisted source address, the cloud Mac’s egress path must be included before testing.

The endpoint URL should be recorded exactly as supplied by the service owner. Avoid silently replacing a secure endpoint with a different host during troubleshooting. A successful browser check also does not prove that the MCP protocol exchange will work from the Antigravity process.

The Google Developers MCP configuration guide should be used to verify the current connection and configuration expectations. Configuration fields and behavior can change, so copied examples from an old project should not be treated as a permanent contract.

Credentials and environment variables

Keep API keys, bearer tokens, and service credentials outside the project source tree. Inject them through the approved environment or secret mechanism for the cloud Mac. Do not paste a secret into an Agent prompt, commit it to a repository, place it in a tool argument, or include it in a screenshot shared with the team.

Before the first tool call, confirm:

The credential exists in the Antigravity process environment.
The credential is available to the intended user, not every user on the Mac.
The remote service expects the same header format supplied by the client.
Logs redact authorization headers and sensitive tool arguments.
A failed test can be revoked without changing unrelated credentials.

The goal is not to hide every error. The goal is to preserve enough diagnostic information to identify the failing layer without exposing reusable credentials.

Operational warning: MCP access is an execution boundary, not a harmless plug-in switch. A server may expose tools that read data, run actions, or write to an external system. Treat every new server as untrusted until its endpoint, ownership, tools, and data flow have been reviewed.

First MCP registration

Connection fields

A minimal remote MCP registration should contain a recognizable server name, the exact remote URL, the required request headers, and an allowed_tools list limited to the first test. The official Antigravity Codelab provides a practical reference for the product workflow, while the current product documentation remains the source of truth for field names and behavior.

Use names that reveal ownership and purpose. A name such as docs-readonly is easier to audit than server-1. If several environments exist, include the environment in the name, such as docs-test-readonly. Do not use a broad name that could be mistaken for a production connection.

The initial configuration should conceptually follow this pattern:

{
  "name": "docs-test-readonly",
  "url": "https://mcp.example.invalid/endpoint",
  "headers": {
    "Authorization": "Bearer ${MCP_TOKEN}"
  },
  "allowed_tools": [
    "read_document"
  ]
}

This is an illustrative structure, not a replacement for the current Antigravity configuration schema. The endpoint and header values are placeholders. The important deployment decision is the narrow allowlist, not the exact sample text.

Minimum connection loop

Run the first test in this order:

Create or select an isolated cloud Mac workspace.
Confirm the project directory and process environment.
Register the remote MCP Server with its exact URL.
Add only one read-only tool to allowed_tools.
Start the Antigravity session and request a bounded, non-sensitive query.
Save the connection result, tool response, and relevant redacted logs.
Remove the test credential if the endpoint is no longer required.

The first query should return structured, low-risk information. A list operation, metadata lookup, or read-only document query is preferable to a task that edits files, creates accounts, sends messages, or changes infrastructure.

Failure isolation

When the first connection fails, check one layer at a time:

URL: confirm the scheme, hostname, path, and endpoint route.
Network: test DNS, outbound access, proxy behavior, and the egress route from the cloud Mac.
Authentication: confirm the header name, token scope, expiration, and redaction behavior.
Protocol response: verify that the endpoint returns the MCP response expected by the current client.
Tool allowlist: confirm that the requested tool name exactly matches the registered name.
Remote process: check whether the Antigravity session has loaded the new configuration and environment.

Do not add every available tool as a debugging shortcut. A larger allowlist makes it harder to identify whether the problem is connection, authentication, protocol, or authorization.

Permission matrix

Antigravity MCP permissions should be divided into three separate control areas:

read_file: whether the Agent can inspect files and which paths it may read.
command: whether the Agent can start shell commands, with limits on command and working directory.
mcp: which MCP Servers and tools the Agent may call.

The Google Cloud MCP access control documentation and the MCP IAM permissions reference provide the relevant access-control concepts. These documents should be checked again whenever the Antigravity permission model or the team’s MCP service changes.

Environment	File access	Command access	MCP access	Confirmation policy
Development	Project files only	Limited commands in the project directory	One named server and selected tools	Confirm writes and external actions
Test	Fixture and test directories	Approved test commands only	Test server with read-only tools first	Confirm mutations and retain logs
Production	Minimum required paths	No broad shell access by default	Exact server and exact tool matches	Human approval for sensitive actions

Global wildcards are convenient but dangerous. A wildcard in MCP access can turn the addition of a new server into an unreviewed permission expansion. A wildcard in file access can expose credentials or unrelated repositories. A wildcard in command access can allow an Agent to combine ordinary commands into a high-impact action.

Exact matching is not a complete security model, but it gives the team a reviewable boundary. Each new server, tool, path, or command should create a visible configuration change that can be approved and reverted.

The Google Agent Hooks documentation is also relevant when a workflow needs pre-action or post-action controls. Hooks should complement permission boundaries, not replace them. A hook that records an action does not make an unsafe action safe.

First-call acceptance

A successful registration is not the same as a usable deployment. The first-call acceptance test should contain three progressively stronger checks.

Read-only query

Start with a read-only request that has a predictable response. Record:

The server name selected by Antigravity.
The tool name requested.
The redacted request metadata.
The returned structure or error.
The session identifier or equivalent trace reference.
The time at which the test completed.

Avoid using private customer data or production credentials for this check. The objective is to validate the path, not to prove business functionality.

Structured extraction

Next, request a bounded structured result. Define the expected fields before running the test. For example, the response might need a document identifier, status field, and source timestamp. A structured response makes it easier to distinguish a valid MCP result from a vague model-generated explanation.

If the response contains missing fields, malformed values, or unrequested content, classify the problem carefully. The model may have interpreted the result incorrectly, the MCP server may have returned an unexpected schema, or the remote session may have truncated the output. These are different remediation paths.

Controlled write

Only after the read-only and structured tests pass should the team run one controlled write. Use a disposable test object or a dedicated fixture. Do not begin with source changes, payment operations, account administration, production deployment, or external communication.

The write test must require confirmation at the point of action. Record whether the Agent requested confirmation, whether the user could cancel, whether the server reported success, and whether the resulting object can be independently verified.

Acceptance record

A deployment can be marked ready for the next stage only when the record shows:

The endpoint was reachable from the cloud Mac.
Authentication succeeded without exposing a secret.
The selected tool matched the allowlist.
The tool response was captured and understood.
Errors were retried only when retrying was safe.
The session could be resumed without losing the project boundary.
The controlled write was confirmed and independently checked.

When a test fails, classify it as a model reasoning failure, MCP service failure, or remote Mac environment failure. For example, an incorrect tool argument may be a model issue; an invalid server response may be an MCP service issue; a missing environment variable or lost working directory is a cloud Mac issue.

Team maintenance

A working deployment becomes risky when it is left unchanged and undocumented. The team should maintain a versioned configuration containing the server name, endpoint owner, approved tools, permission scope, review date, and rollback method. Secrets should be rotated independently from configuration changes so that a revoked token cannot remain usable through an old session.

Review every newly proposed MCP Server before adding it to a shared workspace. The review should cover:

Server ownership and support contact.
Data sent to the endpoint.
Data returned by the tools.
File, command, and external-system effects.
Authentication and token revocation.
Logging and retention.
Failure and timeout behavior.
Whether the server is needed in development, test, production, or only a temporary experiment.

Remote development environments also need operational checks. Monitor logs for sensitive output, keep enough disk space for the project and diagnostic records, review concurrent sessions, and define an idle shutdown or cleanup policy. A forgotten session with an active credential is an access risk even when no tool is currently running.

A single cloud Mac is appropriate for a controlled experiment, a personal development branch, or a short-lived integration test. Consider a centralized Agent runtime when the team needs consistent policy enforcement, shared audit trails, multiple concurrent projects, automated credential rotation, or a single approval workflow across many workspaces. Centralization adds its own operational complexity, so it should follow a proven minimum-permission design rather than replace one.

For access questions, Vuncloud’s help center can be used alongside the team’s internal runbook. The support path should be part of the acceptance plan before a remote workspace becomes responsible for a time-sensitive development task.

Decision checklist

Use this checklist before widening Antigravity access beyond the first read-only tool:

[ ] The cloud Mac has a dedicated project directory.
[ ] The remote MCP URL has been verified from the cloud Mac’s network path.
[ ] The endpoint owner and data flow are documented.
[ ] Credentials are injected outside source code and prompts.
[ ] Authorization headers are redacted in logs.
[ ] The MCP Server has a descriptive environment-specific name.
[ ] allowed_tools contains only the first required tool.
[ ] File, command, and MCP permissions are configured separately.
[ ] No global wildcard is enabled for a production workspace.
[ ] A read-only query has returned an expected result.
[ ] A structured extraction test has been checked against its expected fields.
[ ] A disposable write was confirmed manually and independently verified.
[ ] The team can distinguish model, MCP service, and remote Mac failures.
[ ] Configuration changes are versioned and reversible.
[ ] Token rotation and server revocation procedures have been tested.
[ ] Session, disk, log, concurrency, and idle-workspace checks are assigned.

A developer who cannot check the network route, credential boundary, or rollback method should stop at the read-only stage. Adding more tools will not compensate for missing operational control.

Local Mac and cloud Mac options

The right environment depends on the work being tested, not only on whether Antigravity launches. A local Mac offers direct physical access and usually simpler debugging, but it can mix personal files, long-lived credentials, and unrelated projects with Agent activity. A cloud Mac offers a cleaner disposable boundary and remote access, but it introduces network egress, session persistence, remote logging, and workspace lifecycle concerns.

Option	Best fit	Main limitation	MCP deployment implication
Local Mac	Hardware-connected work, private local data, interactive debugging	Harder to isolate from personal files and credentials	Keep project and secrets separated manually
Isolated cloud Mac	Remote development, short-lived tests, team-reviewed Agent workflows	Depends on network, session, and workspace controls	Validate egress, persistence, logs, and revocation
Centralized Agent runtime	Multiple teams, policy enforcement, audit, and repeatable operations	Higher administration and integration overhead	Standardize permissions and approvals before scaling

Teams comparing these options can review the available Vuncloud Mac workspace options and then validate the specific access model with the deployment owner. A cloud Mac is not automatically superior for every workload. It is usually more suitable when isolation, remote access, and repeatable workspace creation matter more than direct hardware access.

Common deployment questions

The most reliable Google Antigravity MCP deployment starts small: one endpoint, one read-only tool, one isolated workspace, and one recorded acceptance result. If the current environment cannot meet those conditions, the safer decision is to delay wider access rather than enable global permissions and investigate after an incident.

For temporary testing, a cloud Mac can be more controlled than a personal workstation because the project boundary, credentials, and session lifecycle can be defined separately. The trade-off is that remote networking and session persistence must be tested explicitly. Local development remains preferable when the task requires physical devices, private local interfaces, or hardware debugging.

Compared with a local Mac, the current remote development approach may introduce network latency, dependence on remote session availability, and additional credential and log management. Compared with a self-managed machine, it can also require more careful workspace cleanup and access review. For teams that need a disposable environment for MCP testing without purchasing and maintaining another Mac, renting a Mac through Vuncloud can provide a more practical trial path. The decision should remain conditional: use rental for temporary development, validation, or isolated Agent work; choose ownership or a centralized platform when the workload is continuous, hardware-dependent, or subject to long-term operational requirements.