Can my AI agent debug a failed Temporal workflow run directly?

Yes. Instead of browsing the Temporal UI to manually dissect the execution, feed the workflow ID directly to your AI agent. It can seamlessly fetch the entire event history, identify the exact panic line or activity timeout, and immediately suggest code fixes within your IDE.

How complex can the visibility searches be via natural language?

Very complex. Because your agent understands your codebase, you can ask 'Find all workflows of type ProcessPayment that failed in the last 2 hours'. The agent formulates the perfect SQL-like syntax for the backend, parses the matching pages, and surfaces exactly which transactions failed.

Can it read scheduled jobs and Cron jobs configurations inside Temporal?

Absolutely. You can request a list of all active schedules mapped to your namespace. Your agent unpacks JSON configurations, showing definitions of workflow recurrence, enabling you to detect missing crons without interrupting your workflow.

Temporal MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: Temporal
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Temporal as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="temporal_agent",
    instruction=(
        "You help users interact with Temporal "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Temporal MCP Server

Connect your Temporal Cloud (or self-hosted) cluster to any AI agent and bring the power of durable execution directly into your IDE or chat via natural conversation.

Google ADK natively supports Temporal as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Workflows & Executions — List, filter, and inspect active, running, or completed workflow executions
Workflow History — Retrieve the complete sequence of events, activities, and signals to debug failures
Visibility Search — Run complex SQL-like queries using Temporal Visibility syntax to find specific runs
Namespace Details — Check retention periods, configurations, and metadata of your operational namespace
Schedules & Cron — Browse all recurring workflows and predict the next execution schedules

The Temporal MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Temporal to Google ADK via MCP

Follow these steps to integrate the Temporal MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 7 tools from Temporal via MCP

Why Use Google ADK with the Temporal MCP Server

Google ADK provides unique advantages when paired with Temporal through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Temporal

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Temporal tools with BigQuery, Vertex AI, and Cloud Functions

Temporal + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Temporal MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Temporal and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Temporal tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Temporal regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Temporal

Temporal MCP Tools for Google ADK (7)

These 7 tools become available when you connect Temporal to Google ADK via MCP:

get_namespace_details

Retrieves information about the current namespace

get_workflow_details

Retrieves details for a specific workflow execution

get_workflow_history

Retrieves the event history for a workflow execution

list_schedules

Lists all workflow schedules

list_search_attributes

Lists custom search attributes available in the namespace

list_workflows

Returns workflow IDs, run IDs, and statuses. Lists all workflow executions in the configured namespace

search_workflows

g., WorkflowType="MyType" AND Status="Running"). Search workflows using Temporal Visibility Query syntax

Example Prompts for Temporal in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Temporal immediately.

"Show me the last 5 workflows that failed or panicked in the default namespace."

"Explain the exact execution history for workflow 'GenerateInvoice-102'."

"List all active schedules and tell me when the database backup is due."

Troubleshooting Temporal MCP Server with Google ADK

Common issues when connecting Temporal to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Temporal + Google ADK FAQ

Common questions about integrating Temporal MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.