TestLink 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 TestLink 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="TestLink Assistant",
instructions=(
"You help users interact with TestLink. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TestLink"
)
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 TestLink MCP Server
Connect your TestLink self-hosted environment to any AI agent and bring your classic test management structure seamlessly into your modern AI workflow via natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from TestLink through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TestLink, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Project & Plan Scoping — Retrieve all test projects, query their active states, and list all comprehensive test plans linked to them
- Suite Navigation — Browse the hierarchical folder tree of Test Suites mapping your organizational test coverage
- Test Cases Verification — Dive deep into individual test cases to read manual steps, expected results, priorities, and preconditions without navigating the legacy UI
- Build Tracking — Inspect active software builds allocated within any specific test plan to confirm QA target versions
- Environment Sanity — Check the agent’s connection and user mapping via the native whoami interrogation
The TestLink 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 TestLink to OpenAI Agents SDK via MCP
Follow these steps to integrate the TestLink 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 TestLink
Why Use OpenAI Agents SDK with the TestLink MCP Server
OpenAI Agents SDK provides unique advantages when paired with TestLink 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
TestLink + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TestLink MCP Server delivers measurable value.
Automated workflows: build agents that query TestLink, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TestLink, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TestLink tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TestLink to resolve tickets, look up records, and update statuses without human intervention
TestLink MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect TestLink to OpenAI Agents SDK via MCP:
get_test_case_details
Retrieves full details for a specific test case
get_test_plan_details
Retrieves details for a specific test plan
get_test_project_details
Retrieves details for a specific TestLink test project
get_test_suite_details
Retrieves details for a specific test suite
get_user_info
Retrieves information about the authenticated TestLink user
list_test_builds
Lists all builds available for a specific test plan
list_test_cases
Lists all test cases within a specific test suite
list_test_plans
Requires a project ID. Lists all test plans associated with a specific project
list_test_projects
Lists all test projects available on the TestLink server
list_test_suites
Lists all test suites within a specific test project
Example Prompts for TestLink in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TestLink immediately.
"Find out if the server is working and tell me who I am authenticated as."
"Give me the step-by-step definition for Test Case ID 5440."
"List all active test plans for Project ID 2."
Troubleshooting TestLink MCP Server with OpenAI Agents SDK
Common issues when connecting TestLink to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TestLink + OpenAI Agents SDK FAQ
Common questions about integrating TestLink 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 TestLink 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 TestLink to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.