Bring Test Management
to LangChain
Create your Vinkius account to connect Qase to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Qase MCP Server?
Connect your Qase workspace to any AI agent and integrate test management deeply into your development workflow.
What you can do
- Project Overviews — Retrieve all active projects, view health metrics, and get total counts of test cases, runs, and defects instantly
- Test Cases & Suites — Explore your test hierarchy, pull specific test steps, and check case automation statuses without opening the Qase dashboard
- Test Runs & Execution — List all test runs, monitor execution status (passed, failed, blocked), and dive deep into test run analytics
- Defects & Milestones — Track project milestones and extract all logged defects linked to failed test cases, complete with severity levels and issue links
How it works
- Subscribe to this server
- Authorize via your Qase API Token
- Start managing QA operations directly from Claude, Cursor, or any MCP-compatible client
Who is this for?
- QA Engineers — quickly pull up test case steps while writing automated scripts in your IDE
- Developers — ask your agent to list recent defects or failed runs related to the feature you just deployed
- Product Managers — get instant summaries of test run coverage and milestone completion metrics
Built-in capabilities (10)
Retrieves details for a specific test case
Retrieves details for a specific project
Retrieves details for a specific test run
Lists test cases in a project
Lists all defects linked to test case failures
Lists all milestones in a project
Lists all test plans in a project
Lists all projects in Qase
Lists all test runs in a project
Lists test suites in a project
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Qase through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Qase MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Qase queries for multi-turn workflows
Qase in LangChain
Why run Qase with Vinkius?
The Qase connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Qase using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Qase and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Qase to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Qase for LangChain
Every request between LangChain and Qase is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I securely obtain my Qase Token?
Log in to Qase.io and click your profile icon to go to Account settings. Select API Tokens (or sometimes found under Apps for an integration token), and click Create a new API token. Add a name, click generate, and copy the string provided. It takes exactly 15 seconds. Paste it here to authenticate. Your token is encrypted at rest and injected securely at runtime.
Can my AI write test scripts using the case details?
Absolutely. Inside your IDE (like Cursor), you can ask the agent to 'Fetch case #12 from Qase project PROJ'. The tool retrieves the precise steps, preconditions, and expected results. The agent can then automatically generate Playwright, Cypress, or Selenium scripts based exactly on those Qase definitions.
How can I check the results of a recent QA cycle?
Ask your agent to list_runs for your project. This will surface your recent executions. If you notice a run with a high failure rate, ask the agent to pull get_run with that run's ID to dive into specifics and see which modules failed the automated checks.
Can it help me track Jira bugs linked to tests?
Yes. By using the list_defects capability, your AI can pull all registered defects in a Qase project. If your Qase is integrated with Jira or GitHub, the returned defect data includes external issue links, helping developers immediately map a failed test to the corresponding engineering ticket.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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