"Connecting Feishu (Lark)" matching MCP servers:

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Uindow ships a local MCP server (npx -y @uindow/cli mcp, stdio) that lets Claude, Cursor, VS Code, or any MCP client drive a real signed Chromium/Electron browser with genuine OS-level input. Tools exposed: app_docs, app_start, app_stop, app_status, list, create, update, delete, start, stop, status, execute, logs.

A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.

An MCP server connecting Claude to a running Archicad 29 instance for delivery-readiness QA via YAML rules and full Archicad API access, including querying, editing, creating elements, and schedule scheme editing.

An MCP server connecting Claude AI with game engine runtimes (Unity & Godot) for automated testing, log filtering, and scene hierarchy inspection.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables browser automation through Playwright using accessibility tree snapshots instead of screenshots. Supports web scraping, form interactions, testing, and connecting to existing browser sessions with logged-in accounts.

This server enables unified testing of web, Electron, and Windows desktop applications by connecting AI clients to application controls. It supports creating requirement-traced test plans, executing automated suites, and generating evidence-rich, auditable reports.

Enables automated testing of WeChat mini-programs via Model Context Protocol, providing tools for connecting to WeChat Developer Tools, querying and interacting with page elements, making assertions, navigating, and debugging.

Enables static analysis and code smell detection by connecting to an external analysis API.

Enables AI agents to run tests, read failures, push new tests, and schedule them, either by connecting directly to a hosted endpoint or via a local stdio bridge.

Enables autonomous web agents to prune DOM trees, canonicalize URLs, auto-map form inputs, and convert HTML/Markdown tables into typed JSON, then score execution trajectories with action-level precision, recall, and Levenshtein edit distance against gold benchmarks. Runs as a zero-dependency, stdlib-only MCP server over JSON-RPC 2.0 stdio for Claude Desktop, Cursor, and Windsurf.

Enables real-time indirect prompt injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic audit proofs over MCP.

Enables detecting LLM hallucinations and confabulations by clustering sampled responses into semantic equivalence classes and computing semantic entropy.

Audit any MCP server for tool-poisoning, prompt-injection, and data-exfiltration risk before connecting an agent.

Enables agents to list fleet packages, generate merged MCP configs, run production checklists and doctor reports, inspect catalog health, and execute release ship gates. It provides a single MCP interface for connecting and validating the production toolchain.

Enables AI agents to drive SECS/GEM host testing by connecting to equipment, sending SECS messages, running E30 startup conformance reports, and monitoring events and status.

Enables scanning MCP server configurations for security risks like prompt injection, hardcoded secrets, and dangerous commands, providing risk scores and detailed reports before connecting to an AI coding assistant.

Enables AI agents to automate Linux desktop GUI by launching and interacting with Wayland applications in isolated virtual KWin sessions, or connecting to live desktops for collaborative automation.

Enables agents to audit and optimize zero-hop conversion journeys across lock screens, smart TVs, and instant checkout surfaces through native MCP STDIO integration.

Enables automated analysis of test suite traces to identify timing races and state pollution, helping developers mitigate flaky tests through MCP-compliant clients.

A FastAPI + FastMCP dashboard for registering MCP mock server contracts and connecting to them via Streamable HTTP endpoints.

Enables AI-powered code review and analysis of asynchronous JavaScript/TypeScript control flow, identifying unawaited promises and race conditions through AST taint-flow tracing and ESLint-style audits within MCP-compliant clients.

Automates WCAG 2.2 accessibility audits by connecting Claude with 8 screen readers, reducing manual audit time by 62%.

Enables whole-program callgraph reachability analysis to locate dead functions and stale flags, and prune unreachable AST branches. It integrates with MCP-compliant clients for deterministic, zero-dependency code review and semantic analysis.

Enables AI agents in Copilot Chat to autonomously plan, generate, and self-heal Playwright UI and API tests by connecting to a local browser runtime.

Enables users to evaluate cold email copy for spam heuristics, formatting ratios, unsubscribe compliance, and readability, returning a composite spam score, deliverability tier, flags, and recommendations to improve primary inbox placement.

Autonomous dark pattern detection and GDPR, CCPA, EU DSA, and FTC compliance auditor for AI coding agents in Cursor, Windsurf, Claude, and Cline.