AI Tool Call Healing & MCP Integration | desplega.ai

Our brand new AI tool call healing system automatically detects and fixes malformed tool calls in real-time. This breakthrough eliminates a major source of flaky tests that have plagued AI-powered testing platforms.

The healing system intelligently parses concatenated JSON objects, handles escaped quotes, and reconstructs valid tool calls even when the AI model produces imperfect output. For teams practicing shift-left testing, this means more reliable test runs from day one.

This directly improves your CI/CD pipeline stability by reducing false negatives and unexpected test failures. Less test maintenance, more shipping!

We've integrated the Model Control Protocol (MCP), enabling seamless connection with external tools and services. This opens up powerful new possibilities for end-to-end testing that spans multiple systems and third-party integrations.

MCP integration is especially valuable for scaling QA across complex architectures. Teams can now automate workflows that previously required manual coordination between different tools and platforms.

This enhancement supports better continuous deployment practices by enabling comprehensive testing scenarios that mirror real production environments.

Our completely rebuilt demo landing pages provide interactive experiences that showcase AI testing capabilities in action. These aren't just static demos - they're live, working examples of our platform in real scenarios.

The new demo system includes real-time websocket integration and comprehensive accessibility testing via Axe integration. Perfect for demonstrating how QA for startups can be both thorough and efficient.

These demos help teams understand exactly how desplega.ai fits into their workflow, reducing the time from evaluation to product-market fit.

Our Vibe QA interface got major upgrades with new components for test management, enhanced API key context handling, and improved test selection workflows. The experience is now more intuitive for teams managing complex user workflows.

These UI improvements reduce the cognitive overhead of test creation and management, directly supporting faster developer velocity while maintaining high quality standards.

Our next-generation test agent received significant improvements in prompt handling, workflow orchestration, and discovery capabilities. The enhanced agent better understands complex testing scenarios and provides more accurate self-healing tests.

For teams dealing with technical debt QA, the improved agent can better analyze existing applications and suggest optimal testing strategies that balance coverage with maintainability.