Testim MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Testim through 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="Testim Assistant",
instructions=(
"You help users interact with Testim. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Testim"
)
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 Testim MCP Server
Connect your Testim project to any AI agent and bring your automated end-to-end testing orchestration directly into your workflow via natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Testim through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Testim, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Automated AI Tests — Browse your entire test suite, retrieve detailed test steps, and manually trigger specific tests or entire scheduled plans
- Suite & Label Runs — Execute dynamic batches by triggering runs associated with specific labels or grouped within precise test suites
- Execution Diagnostics — Pull pass/fail statuses, trace errors, and review specific execution logs immediately after a deployment
- Branch Management — Check parallel development efforts by listing, creating, and even merging automated test branches without opening the Testim GUI
The Testim MCP Server exposes 10 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 Testim to OpenAI Agents SDK via MCP
Follow these steps to integrate the Testim 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 10 tools from Testim
Why Use OpenAI Agents SDK with the Testim MCP Server
OpenAI Agents SDK provides unique advantages when paired with Testim 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
Testim + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Testim MCP Server delivers measurable value.
Automated workflows: build agents that query Testim, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Testim, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Testim tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Testim to resolve tickets, look up records, and update statuses without human intervention
Testim MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Testim to OpenAI Agents SDK via MCP:
create_project_branch
Creates a new test development branch
get_execution_results
Retrieves the status and results of a specific test execution
get_test_details
Retrieves full details for a specific Testim test
list_project_branches
Lists all parallel development branches in the project
list_tests
Lists all automated tests in the Testim project
merge_project_branch
Typically merges a feature branch into master. Merges test changes from one branch into another
run_specific_test
Optionally provide a branch name. Returns an execution ID. Triggers an immediate run for a specific test
run_test_plan
Triggers a run for a defined test plan
run_test_suite
Triggers a run for all tests in a specific suite
run_tests_by_label
Triggers a run for all tests matching a specific label
Example Prompts for Testim in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Testim immediately.
"List all branches available in my Testim project."
"Trigger a plan run for "Nightly-Regression"."
"Retrieve the execution diagnostic summary for ID EXC-999333."
Troubleshooting Testim MCP Server with OpenAI Agents SDK
Common issues when connecting Testim to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Testim + OpenAI Agents SDK FAQ
Common questions about integrating Testim 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 Testim 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 Testim to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.