An MCP server that connects AI assistants to the Qase test management platform. It exposes Qase operations for managing projects, test cases, runs, results, plans, defects, milestones, environments, shared steps/parameters, users, configurations, attachments, and QQL search.
From the registry: Official MCP server for Qase — manage test cases, runs, suites, defects via AI tools.
Please install the `mcp-server-qasetms` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js 18+** — Node.js version 18 or newer. (https://nodejs.org)
- **Qase API Token** — Get an API token from your Qase account. (https://app.qase.io/user/api/token)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@qase/mcp-server"]
- required environment variables:
- `QASE_API_TOKEN`: Qase API token. (example: `<your-api-token>`)
- optional environment variables:
- `QASE_API_DOMAIN`: Custom API domain for Qase Enterprise. (example: `api.qase.io`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.QASE_API_TOKENrequiredQase API token used to authenticate with the Qase APIReal-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.