Temporal MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Temporal through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Temporal Assistant",
instructions=(
"You help users interact with Temporal. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Temporal"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 7 tools from Temporal through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Temporal, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Temporal MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from Temporal
Why Use OpenAI Agents SDK with the Temporal MCP Server
OpenAI Agents SDK provides unique advantages when paired with Temporal through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Temporal + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Temporal MCP Server delivers measurable value.
Automated workflows: build agents that query Temporal, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Temporal, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Temporal tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Temporal to resolve tickets, look up records, and update statuses without human intervention
Temporal MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Temporal to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Temporal to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Temporal + OpenAI Agents SDK FAQ
Common questions about integrating Temporal MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Temporal with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Temporal to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.