google-agents-cli-publish
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
How do I install this agent skill?
npx skills add https://github.com/google/agents-cli --skill google-agents-cli-publishIs this agent skill safe to install?
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This skill provides technical documentation and command-line examples for publishing and managing agents within the Google Cloud ecosystem. It utilizes standard vendor-authored tools and follows established cloud management practices.
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What does this agent skill do?
Gemini Registration
Requires: A deployed agent. For Agent Runtime in Gemini platform,
deployment_metadata.json(created byagents-cli deploy) enables auto-detection. For Cloud Run or GKE, provide the agent card URL and flags directly.
Prerequisites
- Agent must be deployed — the agent must be running and reachable
- Gemini app must exist — Create one in the Google Cloud console before registering
deployment_metadata.json(Agent Runtime only) — Created automatically byagents-cli deploy; contains the Agent Runtime ID, deployment target, the A2A flag, and the agent directory- Text-based agent — Live/voice (bidi) agents are not supported by the Gemini app, which has no
/run_livetransport. Register a text-based agent instead.
Required Permissions for A2A on Cloud Run
roles/run.servicesInvokergranted to the Discovery Engine service account (service-<PROJECT_NUMBER>@gcp-sa-discoveryengine.iam.gserviceaccount.com) on the Cloud Run service.
Registration Modes
A2A Registration
Every scaffolded agent serves the Agent-to-Agent protocol. A2A is the default — and only — registration type on Cloud Run and GKE (no reasoning engine to invoke natively). It also works on Agent Runtime via --registration-type a2a. For an ADK agent there the CLI warns against it, because the Gemini app can invoke Agent Runtime natively via :streamQuery — prefer ADK registration in that case. For an agent built on another framework there is no ADK app to invoke natively, so A2A is the right mode on every target and the warning is expected. Pass the agent card URL and the command fetches the card and registers it; display name and description default to the card's name/description.
# A2A on Cloud Run / GKE. The card path depends on the project's language:
# Python -> /a2a/{app_name}/.well-known/agent-card.json
# Go -> /.well-known/agent-card.json
agents-cli publish gemini \
--agent-card-url https://my-service-abc123.us-east1.run.app/a2a/app/.well-known/agent-card.json \
--gemini-app-id projects/123456/locations/global/collections/default_collection/engines/my-app
Pass --display-name / --description to override the card defaults. On Agent Runtime, the card URL auto-builds from deployment_metadata.json if you omit --agent-card-url.
ADK Registration (default on Agent Runtime)
ADK projects only. The agent must be deployed to Agent Runtime as an ADK app, since registration invokes it through
:streamQuery. An agent on another framework registers over A2A, so deploy it to Cloud Run or GKE and publish from there.
This is the default and recommended registration for ADK agents on Agent Runtime: the Gemini app invokes the agent natively via :streamQuery on its reasoning engine resource, authenticating end-to-end. Under the hood, :streamQuery dispatches to the AdkApp's streaming_agent_run_with_events method — when debugging an ADK invocation, search the runtime's reasoning_engine_stderr logs for that method name to trace the failure. It's also the path to use when the agent needs an OAuth authorization (--authorization-id). The agent is registered directly via its reasoning engine resource name; no agent card URL is needed.
agents-cli publish gemini \
--registration-type adk \
--agent-runtime-id projects/123456/locations/us-east1/reasoningEngines/789 \
--gemini-app-id projects/123456/locations/global/collections/default_collection/engines/my-app \
--display-name "My Agent" \
--description "Handles customer queries" \
--tool-description "Answers questions about products"
Programmatic Mode (CI/CD)
The command is non-interactive by default — pass all required values via flags or environment variables. This makes it safe for CI/CD pipelines.
Via flags
agents-cli publish gemini \
--agent-runtime-id "$AGENT_RUNTIME_ID" \
--gemini-app-id "$GEMINI_APP_ID" \
--display-name "Production Agent" \
--registration-type adk
Via environment variables
Most flags have an env var alternative (--metadata-file, --interactive, and --list do not):
export AGENT_RUNTIME_ID="projects/123456/locations/us-east1/reasoningEngines/789"
export GEMINI_APP_ID="projects/123456/locations/global/collections/default_collection/engines/my-app"
export GEMINI_DISPLAY_NAME="Production Agent"
export GEMINI_DESCRIPTION="Handles customer queries"
agents-cli publish gemini
Interactive Mode (--interactive)
Pass --interactive (or -i) to be guided through any missing values with interactive prompts. The command will list available Gemini apps, offer to auto-detect the Agent Runtime ID from metadata, and prompt for display name and description.
agents-cli publish gemini --interactive
Complete Flag Reference
| Flag | Env Var | Description |
|---|---|---|
--agent-runtime-id | AGENT_RUNTIME_ID | Agent Runtime resource name (auto-detected from deployment_metadata.json) |
--gemini-app-id | GEMINI_APP_ID | Gemini app full resource name |
--display-name | GEMINI_DISPLAY_NAME | Display name in Gemini |
--description | GEMINI_DESCRIPTION | Agent description |
--tool-description | GEMINI_TOOL_DESCRIPTION | Tool description (ADK mode only, defaults to description) |
--registration-type | REGISTRATION_TYPE | adk or a2a (defaults to adk for an ADK agent on Agent Runtime, a2a everywhere else, including any non-ADK framework) |
--agent-card-url | AGENT_CARD_URL | Agent card URL for A2A registration |
--deployment-target | DEPLOYMENT_TARGET | agent_runtime, cloud_run, or gke (sets the default registration type — ADK on Agent Runtime, A2A on Cloud Run / GKE — and the A2A auth method) |
--project-id | GOOGLE_CLOUD_PROJECT | GCP project ID for billing |
--project-number | PROJECT_NUMBER | GCP project number (used for Gemini app lookup) |
--authorization-id | GEMINI_AUTHORIZATION_ID | OAuth authorization resource name |
--metadata-file | — | Path to deployment metadata (default: deployment_metadata.json) |
--interactive / -i | — | Enable interactive prompts |
--list | — | List Gemini apps in the current project and exit |
The old names still work as hidden aliases: publish gemini-enterprise, --gemini-enterprise-app-id, and the ID / GEMINI_ENTERPRISE_APP_ID env vars. Projects generated by earlier versions call publish gemini-enterprise from make publish-gemini-enterprise; newer Go and Java projects keep that target and add make publish-gemini as an alias.
Auto-Detection from Metadata
When deployment_metadata.json exists, the command automatically:
- Reads the Agent Runtime ID (
remote_agent_runtime_id) - Determines the registration type: defaults to ADK (native
:streamQuery) on Agent Runtime, and A2A on Cloud Run / GKE (which have no reasoning engine). A project scaffolded with another framework serves no ADK app, so it defaults to A2A on every target. Override with--registration-type. - Determines the deployment target for authentication
This means that for the simplest case (an ADK agent on Agent Runtime, registered as ADK), you only need to provide the Gemini app ID:
agents-cli publish gemini \
--gemini-app-id projects/123456/locations/global/collections/default_collection/engines/my-app
Agent Registry (agents and MCP servers)
Agent Registry (Preview) is the Google Cloud fleet-wide catalog of agents and MCP servers, separate from a Gemini app.
Agents deployed to a managed runtime (Agent Runtime in Gemini
platform) are auto-registered — no extra step after agents-cli deploy.
Manage them with gcloud (requires roles/agentregistry.editor):
# List / inspect agents
gcloud agent-registry agents list --project PROJECT --location LOCATION
gcloud agent-registry agents describe AGENT_NAME
# Update endpoint/metadata — edit the Service resource, not the Agent
gcloud agent-registry services update AGENT_NAME \
--display-name "..." --description "..." \
--interfaces "url=ENDPOINT_URL,protocolBinding=http-json"
# Register an external MCP server: not auto-introspected, so upload a
# toolspec.json (its tools/list response, max 10 KB). No us/eu multi-region.
gcloud agent-registry services create SERVER_NAME --location=LOCATION \
--mcp-server-spec-type=tool-spec --mcp-server-spec-content=toolspec.json \
--interfaces="url=SERVER_URL,protocolBinding=jsonrpc" # or http-json, grpc
# Remove: delete the underlying runtime agent (auto-registered) OR, for
# manually registered agents/servers, delete the Service resource
gcloud agent-registry services delete NAME
Terraform: google_agent_registry_service with an mcp_server_spec block.
Docs: https://docs.cloud.google.com/agent-registry/manage-agents · https://docs.cloud.google.com/agent-registry/register-mcp-servers
Troubleshooting
| Issue | Solution |
|---|---|
| "Session not found" after registration | Python projects on google-cloud-aiplatform <= 1.128.0 hit a known SDK bug — upgrade it, redeploy, then re-register |
--registration-type is required | Non-interactive mode needs --registration-type when no deployment_metadata.json exists |
| "Gemini app ID is required" | Provide --gemini-app-id or set the GEMINI_APP_ID env var |
| Re-publishing the same agent | Registration is idempotent — re-running updates the existing registration in place instead of creating a duplicate |
| HTTP 403 on registration | Check that your account has Discovery Engine Editor permissions on the project that hosts the Gemini app |
| Debugging ADK invocation failures on Agent Runtime | The Gemini app calls the agent via the AdkApp's streaming_agent_run_with_events method (the native :streamQuery contract). Grep the runtime's reasoning_engine_stderr logs for streaming_agent_run_with_events to find the underlying error |
| "Could not fetch agent card" | Verify the agent is running and the URL is correct; for Cloud Run, ensure gcloud auth login is done. A Live/voice agent drops its A2A card and cannot be published — the Gemini app does not support Live agents |
Related Skills
/google-agents-cli-deploy— Deployment targets, CI/CD pipelines, and production workflows (also covers Agent Gateway governed ingress/egress and Semantic Governance awareness)/google-agents-cli-workflow— Development workflow, coding guidelines, and operational rules/google-agents-cli-scaffold— Project creation and enhancement withagents-cli scaffold create/scaffold enhance
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/google/agents-cli/google-agents-cli-publish">View google-agents-cli-publish on skillZs</a>