"Vite" matching MCP servers:

A Vite plugin that provides MCP server capabilities, enabling MCP clients to interact with browser environments through adapters for console, cookies, storage, performance, and component tree inspection.

AI-optimized Vitest interface that provides structured test output, visual debugging context, and intelligent coverage analysis for more effective AI assistance with testing.

Enables users to check HTTP status codes, find broken same-origin links, review SEO basics, and inspect common security headers with polite, permission-based crawling from any MCP client.

Lets assistants send the same test prompts to as many as four text models across OpenRouter, Amazon Bedrock, Google Vertex AI and Microsoft Foundry, then automatically grade each answer with a judge model, rule checks and a policy gate. Returns scored leaderboards with letter grades, per-response strengths and weaknesses, latency, throughput and estimated cost, plus downloadable PDF and CSV reports.

Enables automated migration of JavaScript/TypeScript packages from legacy test runners like Karma, Webpack, and Mocha to Vitest, including AST codemods, multi-project test scaffolding, and self-learning diagnostics for resolving runtime errors.

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

Enables autonomous software development by managing requirements, architecture, task dependency DAGs, isolated worker workspaces, execution, contract and integration verification, and checkpoints. It provides observable evidence gates so AI workers can build and verify software against reproducible contracts.

Custom version of vibecheck

Enables rapid analysis of landing pages for SEO compliance, conversion structure, color contrast accessibility, and performance metrics with automated optimization suggestions and code snippets.

Enables AI assistants to run Vitest tests and analyze code coverage, supporting test-driven development workflows with tools for test execution and coverage analysis.

Enables AI coding hosts to drive deterministic acceptance checks for weapp-vite and Wevu WeChat mini-programs through inspect, start, status, cancel, and report operations. Reports bind to source digests and distinguish build, DevTools, and unverified checks without requiring a second model or API key.

Enables coding agents to use a real debugger (Python via debugpy) for launching, attaching, setting breakpoints, stepping through code, inspecting stack frames, and evaluating expressions through MCP tools.

Enables AI agents to drive a real Chrome instance over the Chrome DevTools Protocol — opening and navigating tabs, reading compact YAML page outlines with refs, clicking, typing, scrolling, screenshotting, and evaluating scripts — with no browser extension or installed dependencies. It also audits pages for horizontal overflow and WCAG AA contrast, available both as an MCP tool and as a CI-friendly CLI.

A local, MIT-licensed AI test harness with 10 MCP tools and 11 prompts for risk-based testing, accessibility checks, quality maps, evidence, and interactive reports. Runs over stdio against an explicitly configured project folder; uses the host AI coding agent, with no hosted backend or runtime telemetry.

Enables AI agents to drive a real headless Chrome over the DevTools Protocol without any extension, exposing tools to list, open, navigate and read tabs as compact accessible outlines with element refs, click, type, scroll, take screenshots, and inject scripts. It also runs horizontal-overflow and WCAG AA contrast audits via both an MCP tool and a CI-friendly CLI.

Enables AI-assisted coding workflows to validate code changes through an adversarial debate between the coding agent and a critic LLM, surfacing only deadlocked decisions for human review.

Enterprise-grade MCP server for Vibe APIs, enabling AI agents to manage projects, repositories, buckets, and retrieve activity data.