"TestRail" matching MCP servers:

An MCP server for TestRail that prepares everything needed to generate test cases from Jira tickets, Confluence pages, or free-form specs and pushes them back to TestRail.

Enables Claude to create and upload test cases directly into TestRail by finding the right section, checking required fields, and creating cases with steps, expected results, references, custom fields, and optional images from chat or a case-pack JSON file.

Connect your AI coding assistant to TestRail to manage test cases, runs, results, and more directly from VS Code, Cursor, Claude Desktop, or Claude Code.

Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

Enables AI assistants to interact with TestRail test management system, supporting full CRUD operations on projects, suites, sections, test cases, runs, results, plans, and milestones.

Integrates TestRail with Claude Code to enable AI-assisted test management workflows, including project, suite, test case, test run, and result operations.

AI-native Model Context Protocol (MCP) server for TestRail. Lets Claude, Cursor, Windsurf, and other AI assistants browse projects, create and update test cases, kick off test runs, and record results through natural-language conversation — with strongly-typed tool schemas and per-project custom field validation that helps LLMs generate valid TestRail requests on the first try.

Enables managing TestRail projects, suites, cases, sections, runs, tests, results, plans, milestones, and shared steps directly from MCP-supported AI clients.

Enables TestRail test management through MCP tools, allowing users to manage projects, test cases, runs, and results via natural language.

Enables management of TestRail projects, suites, test cases, runs, and results through natural language.

Enables AI assistants to interact directly with TestRail instances for managing test projects, suites, cases, runs, results, plans, milestones, and attachments through the TestRail API with secure authentication.

Enables AI assistants to answer QA questions in a single call, covering run reports, failure grouping by root cause, flaky versus regressed test detection, and coverage gaps. Also exposes raw TestRail API access when a question needs it.

Enables comprehensive TestRail test management integration with support for projects, test cases, runs, results, advanced reporting, analytics, and AutoSpectra test automation framework synchronization.

MCP server for TestRail that enables AI assistants to interact with TestRail's test management platform. It can query and manage projects, test cases, runs, results, plans, milestones, and more.

A Model Context Protocol server that provides integration with TestRail, allowing AI assistants to interact with TestRail projects, test cases, test runs, and results.

A Model Context Protocol server that allows interaction with TestRail's core entities (projects, cases, runs, results, datasets) through a standardized protocol compatible with MCP clients like Claude Desktop.

MCP server for TestRail API, providing AI assistants with 107 tools to manage test cases, runs, results, plans, and more. Supports API key, password, and SSO cookie authentication.

MCP server for TestRail that enables AI agents to manage test cases, runs, and results, plus a bundled skill to convert Jira tickets into TestRail test cases.

Lightweight MCP server bridging Cursor to TestRail, exposing get_case_by_id tool to fetch TestRail cases.