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No context switching. Qase MCP Server meets you where you already work.
npm install -g @qase/mcp-serverWorks with your tools
Claude Desktop
OpenAI Codex
OpenCodeMCP closes the loop between AI-generated tests and the team responsible for shipping quality.
AI agents generate tests in a black box, with no link back to suites, runs, or coverage reporting, and no way for the team to coordinate on what's been tested.
Enterprises need audit trails, role-based access, and approval workflows. Most AI test workflows have none of those.
AI-generated tests still need human review. Without organizational visibility, bad tests slip through and good ones get duplicated.
Qase MCP Server brings AI-driven testing into the same governance, traceability, and review surface your team already uses.
Tests created via MCP are stored in Qase with their suites, runs, and results, and exposed through 41 MCP tools so coverage stays connected to your work.
Role-based access, audit trails, milestones, and approval workflows apply to MCP-driven changes the same way they do everywhere else in Qase.
Every test, run, and defect created from an MCP client is visible in the Qase UI with full filtering and auditing — no shadow test suites.
A focused MCP surface that exposes the parts of Qase your AI assistant actually needs.
Create, update, and execute test cases and runs from your AI assistant. 41 tools, all available.
Use Qase Query Language to filter test cases, defects, and results by any field, directly from your MCP client.
Create, resolve, and manage defects without leaving your coding environment.
Projects, suites, plans, milestones, environments, shared steps, custom fields. The whole surface, MCP-ready.
Create multiple test cases or results in a single call so AI workflows stay fast at scale.
Custom domain support, type-safe TypeScript implementation, and full validation out of the box.
From token to your first AI-driven Qase query in minutes.
Generate a token in app.qase.io → Settings → API tokens.
Drop the Qase MCP config into Claude Desktop, Cursor, Claude Code, OpenAI Codex, or OpenCode.
Try "List all my Qase projects" and your MCP client routes it through Qase and responds inline.
Want to extend your capabilities even further? Quality Supervisor, an installable plugin for MCP-capable AI clients, adds software quality related skills to your agentic workflow.
“Where are our coverage gaps?” Finds requirements, suites and critical paths with no tests, then drafts the missing cases for you to approve.
“Triage the latest run and tell me what’s a real bug.” Groups failures and sorts each one into product bug, automation issue, environment problem or flake. Creates and links defects when you say so.
“Which tests should we quarantine?” Measures instability from result history, confirms with re-runs, and recommends quarantine or a fix for each test.
“Are we ready to ship milestone 2.3?” A go/no-go check across 5 dimensions for a milestone, test plan or release.
“Give me a quality pulse for the last two weeks.” An HTML report card covering execution, pass rates, defect backlog and test case activity.
“What should QA test on this branch?” Reads the diff, traces the affected code paths, and returns a regression checklist plus the new tests the change needs.
Want all of it at once? Run with your project code for coverage, flakiness, triage and readiness in one read-only pass.
