Temporal Connector for AI agents.
7 live capabilities
Query and debug distributed workflows in Temporal Cloud natively.
Waiting for input…
Why people use Temporal
Temporal for Debugging Distributed Workflow Failures
This Connector lets you skip the navigation entirely. You just tell your AI client what's wrong, and it pulls the history or searches the visibility logs for you. You get the answer in seconds instead of minutes of clicking.
What Vinkius changes
You get instant, conversational access to your Temporal cluster data without leaving your workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Failed Job Debugging
An engineer asks, "Why did the InvoiceWorkflow fail?
- Real-world use case 02
Production Incident Response
An SRE asks for all running workflows in a specific namespace.
- Real-world use case 03
Schedule Audit
A platform team wants to know when the next backup runs.
Complete set · 7capabilities
The complete Temporal capability set.
These are the exact actions your AI can choose when you ask it to work with Temporal.
01—04
4 capabilities in this set.
Part of 7 available through Temporal.
- 01 Capability
Get workflow history
Pull the full sequence of events and activities for a specific workflow execution to find exactly where it failed.
- 02 Capability
Get namespace details
Check your current namespace's configurations, metadata, and retention periods in one go.
- 03 Capability
Get workflow details
Get the specific status and metadata for a single workflow run to see its current state.
- 04 Capability
List schedules
See all recurring workflows and their next scheduled execution times across your cluster.
05—07
3 capabilities in this set.
Part of 7 available through Temporal.
- 05 Capability
List search attributes
View the custom search attributes available in your namespace to understand your querying options.
- 06 Capability
List workflows
Get a high-level list of all workflow IDs, run IDs, and statuses in your namespace.
- 07 Capability
Search workflows
Run complex visibility queries to find specific runs based on status, type, or other attributes.
Set up in minutes
One URL. Then ask Temporal to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Temporal from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Temporal, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Temporal for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Temporal URL.
- Step 03
Save and start
Save the connection and enable Temporal in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"temporal": {
"url": "https://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Temporal
Open Agent mode in chat and ask: "Using Temporal, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"temporal": {
"url": "https://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Temporal
Ask Copilot: "Using Temporal, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"temporal": {
"url": "https://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Temporal
Open Cascade and ask: "Using Temporal, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"temporal": {
"url": "https://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Temporal
Ask Cline: "Using Temporal, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add temporal --transport http "https://edge.vinkius.com/vk_preview_EnU6gjOxc9KSHxcvKKIpGvDNCsHHJOBTVxTch47l/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Temporal
Ask Claude: "Using Temporal, show me...". 7 tools are ready
Where the request belongs
Work Temporal can move forward.
This is for the engineers who are tired of clicking through nested menus during a high-pressure incident. It's for the person who needs to know exactly why a job failed without manually correlating logs.
Software Engineer
Debugging failed workflow runs and pulling event histories during development.
Platform Engineer
Auditing namespace configurations and checking retention periods for compliance.
SRE
Querying complex visibility logs during active production incidents to identify bottlenecks.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMake (Workflow Automation)
Manage workflow automation via Make. audit scenarios, track execution logs, and monitor data stores.
Orkes Conductor
Orchestrate microservice workflows via Orkes Conductor. list definitions, track running executions, search workflow history, and inspect task states from any AI agent.
Workflow Orchestrator Prover
AI agents build fragile pipelines that fail silently, ignore rate limits, and double-process events. This prover enforces distributed systems discipline: mandatory dead-letter queues (DLQ), exponential backoff, stateful idempotency tracking, and secure credentials.
Activepieces
Automate workflows with Activepieces. manage flows, monitor executions, and handle app connections directly from your AI agent.
Lindy (Autonomous AI Employees)
Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.
Trigger.dev (Background Tasks & Jobs)
Manage background tasks and jobs via Trigger.dev. trigger tasks, monitor runs, manage schedules, and configure environment variables directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Temporal connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Temporal.
The practical details behind the request, access and result.
Can I use the Temporal MCP to debug failed workflows in Claude or Cursor?
Yes. This Connector allows your AI client to query your Temporal cluster directly. You can ask it to find specific failed runs or pull their full history without leaving your editor.
Does the Temporal MCP work with self-hosted clusters?
Yes, it works with both Temporal Cloud and self-hosted clusters. You just need to provide your Temporal Address and the correct API credentials.
How does the Temporal MCP help with production incidents?
It speeds up incident response by letting you query visibility logs and list active workflows using natural language. This eliminates the need to navigate complex UIs during a crisis.
Can the Temporal MCP check my namespace configurations?
Yes. You can ask your agent to retrieve namespace details, such as retention periods and metadata, to ensure your environment is configured correctly.
Will the Temporal MCP show me my recurring cron jobs?
Yes. It can list all workflow schedules and even tell you the predicted next execution time for your recurring tasks.
Do I need to write any code to use the Temporal MCP?
No code is required. Once you subscribe and provide your credentials, you can interact with your Temporal data through plain English conversation with your AI agent.
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.
One connection away
Give your agent a direct line to Temporal.
Connect Temporal once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available