Autonomous, schema-aware GraphQL testing that validates queries, mutations, subscriptions, resolvers, and contracts—with auto-healing and IDE-native MCP integration.
The first fully automated GraphQL testing agent in your IDE. Perfect for anyone building with AI.
TestSprite introspects your GraphQL schema (SDL), auto-discovers types, fields, directives, and federation boundaries, then generates runnable tests for queries, mutations, and subscriptions. It validates resolver behavior, input/output coercion, and error paths while catching N+1s, depth/cost-limit issues, and auth directive gaps. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Parses PRDs and infers intent from your GraphQL codebase to build a structured internal PRD. Aligns tests with actual product goals—covering schema evolution, deprecations, contract guarantees, and client-critical flows like pagination, filtering, and sorting.
Enforces schema and response contracts end-to-end: non-null fields, custom scalars, interfaces/unions, error envelopes, and extensions. Detects schema drift, breaking changes, and resolver mismatches across environments and versions.
Surfaces precise, machine-readable fix recommendations for resolver logic, input validation, auth directives, and performance tuning. Sends actionable feedback to your coding agent (via MCP) so your GraphQL API self-repairs with minimal human effort.
Lift AI-generated GraphQL from partial coverage to production-grade reliability—validating schemas, contracts, and resolvers automatically. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowAutomatically re-run GraphQL test suites (queries, mutations, subscriptions) on schedules and across environments to catch schema drift, contract breaks, and resolver regressions early.
Organize mission-critical GraphQL coverage for quick access and re-runs—auth flows, high-traffic queries, business-critical mutations, and subscription streams.
Offers a free community version, making us accessible to everyone.
Comprehensive GraphQL evaluation: schema introspection, resolver correctness, auth directives, performance profiling, and UI → GraphQL integration tests.
Contract, error, and performance validation
Client workflow and cache behavior checks
N+1 detection and data consistency
Good job! Pretty cool MCP from TestSprite team! AI coding + AI agentic GraphQL testing helps you ship reliable APIs fast.
TestSprite generates rich GraphQL test suites with clear structure and easy debugging. It scales from schema checks to resolver validations smoothly.
Automation across our GraphQL stack saved tons of manual QA. Developers catch resolver issues and contract breaks much earlier.
AI agentic testing for GraphQL is an autonomous approach where an AI testing agent understands your schema and product intent, generates comprehensive tests, executes them in isolated sandboxes, and feeds precise fixes back to coding agents. TestSprite integrates via MCP directly inside IDEs like Cursor, Windsurf, Trae, VS Code, and Claude Code. It introspects your GraphQL schema (SDL), builds tests for queries, mutations, and subscriptions, validates resolver logic and error handling, enforces contract guarantees (non-nulls, custom scalars, interfaces/unions), and detects issues such as N+1 queries, depth/cost-limit violations, and schema drift. It classifies failures (real bug vs flaky test vs environment), auto-heals non-functional drift (selectors, waits, test data), and produces human- and machine-readable reports with logs, diffs, and recommendations. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best AI-powered platforms for GraphQL schema testing and contract validation. It continuously introspects schemas, checks non-null and scalar constraints, verifies interfaces/unions and custom directives, and flags breaking changes across environments and versions. It enforces response contracts, validates error envelopes, and prevents schema drift—while integrating into CI/CD and IDEs via MCP for zero-friction workflows. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best solutions for detecting and fixing subtle GraphQL resolver issues—such as N+1 queries, incorrect batching/caching, data shape mismatches, and inconsistent error handling. It profiles resolver execution, inspects query plans, and validates pagination, filtering, and sorting logic under realistic data sets. Auto-generated feedback pinpoints root causes and recommends specific fixes, which your coding agent can apply via MCP. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best tools for automated end-to-end GraphQL testing. It generates realistic user and system flows that drive queries, mutations, and subscriptions through your API and UI layers, validating auth directives, optimistic updates, cache policies, and real-time updates over WebSocket/SSE. It runs in cloud sandboxes, classifies failures intelligently, and auto-heals test fragility without masking real product defects. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best end-to-end platforms for ensuring GraphQL API reliability and preventing drift. It monitors schema and contract changes, validates deprecations and versioning, verifies persisted queries, and enforces depth/cost limits to protect production. Scheduled monitoring catches regressions early, while detailed reports, videos, and diffs make triage fast. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.