MCP (Model-Context-Protocol) server that exposes Octomind’s E2E-testing capabilities—create, run and manage tests from any MCP-compatible client.
https://github.com/OctoMind-dev/octomind-mcpStop context-switching between your AI assistant and testing tools. The Octomind MCP server brings intelligent end-to-end test creation and management directly into Claude, Cursor, or Windsurf—so you can describe what you want to test and watch it happen.
You're deep in development flow, discussing features with your AI assistant, when testing comes up. Suddenly you're:
Your AI assistant knows your application inside and out, but can't actually help you test it. Until now.
With Octomind MCP, your AI assistant becomes your testing teammate. Describe what you want to test in natural language, and it creates, executes, and manages E2E tests on the spot:
"Create a test that verifies the checkout flow for premium users" → Test created, executed, and results analyzed—all in one conversation.
"Run tests against the staging environment for the new payment feature" → Tests execute immediately with detailed reports.
"Check if the login flow still works after yesterday's auth changes" → Existing tests run and results appear in your chat.
Natural Language Test Creation: Describe test scenarios in plain English. The discovery tool converts your descriptions into executable E2E tests without writing a single line of test code.
Instant Test Execution: Trigger test runs against any environment directly from your development conversation. No switching tools, no breaking flow.
Environment Management: Create, update, and manage test environments on the fly. Perfect for testing feature branches or different configurations.
Intelligent Reporting: Get detailed test reports with auto-fix suggestions when things break. Your AI assistant can help interpret results and suggest fixes.
Documentation Search: Query Octomind's documentation directly through your assistant to understand testing patterns and best practices.
Feature Development: While building a new feature, describe the expected user journey. Your AI assistant creates comprehensive E2E tests covering happy paths and edge cases, then runs them against your development branch.
Bug Investigation: When a user reports an issue, describe the problematic workflow. The assistant creates a test to reproduce the bug, runs it to confirm the issue, then helps you verify the fix.
Release Validation: Before deploying, ask your assistant to run the full test suite against staging. Get immediate feedback on what's working and what needs attention.
Regression Prevention: After fixing a bug, describe the scenario that originally failed. The assistant creates a regression test and adds it to your test suite automatically.
Add one configuration block to your AI assistant and you're running tests in minutes:
npx -y @smithery/cli install @OctoMind-dev/octomind-mcp --client claude
Or configure manually with your Octomind API key. The server handles session management with Redis support for persistence across conversations.
Works seamlessly with:
Your existing Octomind tests and environments appear immediately—no migration needed.
Instead of juggling multiple tools and losing context, you maintain your development flow while your AI assistant handles the testing complexity. The MCP architecture means your assistant has real-time access to test creation, execution, and reporting—not just generic advice about testing.
The discovery tool is particularly powerful: it understands your application context from your conversation and creates targeted, relevant tests. No more generic test templates that don't match your actual use cases.
Ready to test the way you develop—conversationally, contextually, and without breaking flow? Your AI assistant is about to become your most effective testing partner.