AI Integration Overview

Overview

Testany provides AI integration capabilities that allow you to manage tests, pipelines, and executions through AI assistants like Claude Code, GitHub Copilot, VS Code Copilot, and other MCP-compatible tools.

Architecture

AI Integration Architecture

Components

ComponentPurposeDescription
Testany MCPAPI ToolsProvides 59 atomic operations for test management via Model Context Protocol
Testany SkillsDomain KnowledgeGuides AI assistants on how to use MCP tools effectively

Skill Plugin

Testany provides testany-bot, a universal skill plugin that works across all platforms:

PluginArchitectureCompatibility
testany-botSelf-contained SkillsAll platforms (Claude Code, GitHub Copilot, VS Code Copilot, Cursor, etc.)

testany-bot

  • Uses standard name and description frontmatter
  • Works with any AI assistant that supports Agent Skills specification
  • Simple, self-contained architecture
  • Recommended for all users, including Claude Code users

Supported AI Assistants

AssistantMCPtestany-bot
Claude Code
GitHub Copilot
VS Code Copilot
Cursor

Available Skills

Both plugins provide the same 6 skills:

SkillDescriptionExample
/caseTest case managementCreate, edit, configure test cases
/pipelinePipeline orchestrationBuild pipelines, configure relay
/testsTest executionExecute pipelines, monitor results
/debugFailure analysisAnalyze failures, view logs
/orchestratorTest orchestrationGatekeepers, scheduled plans, CI/CD
/workspaceWorkspace managementTeam and permission management

What You Can Do

With AI integration, you can use natural language to:

  • Create and configure test cases - "Create an API test for the login endpoint"
  • Build test pipelines - "Combine these 3 test cases into a regression pipeline"
  • Execute and monitor tests - "Run the smoke test pipeline and show me the results"
  • Debug failures - "Why did this execution fail? Show me the logs"
  • Set up CI/CD - "Create a quality gate for production deployments"
  • Manage workspaces - "Add the new team member to the QA workspace"

Next Steps

  • Quick Start - Get up and running in 5 minutes
  • Resources - GitHub repos, documentation, and support

Still have questions?

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