"A server for debugging and testing Android apps with A11y compliance" matching MCP servers:

An accessibility expert MCP server that provides AI coding assistants with real-time access to WAI-ARIA patterns, code review, contrast checking, and WCAG guidance for writing accessible code from the start.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Provides Android development assistance following NowInAndroid best practices, including architecture patterns, code generation for feature modules/ViewModels/repositories, and searchable documentation for Jetpack Compose and modularization.

Provides AI coding assistants with access to Google's Android development skills library through an MCP server. Enables developers to discover, search, and apply Android best practices directly within their coding environment without manual copying.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.

Enables AI assistants to search and retrieve security, privacy, and AI-governance controls from multiple compliance frameworks (e.g., NIST, HIPAA, OWASP) with cross-references, providing authoritative cited control text.

An MCP server that gives AI agents direct access to developer.android.com — search docs, look up API references, browse packages, and check release notes.

Analyzes security compliance documents (ISMS-P, NIST, CIS Benchmark) in PDF/TXT format, extracts requirements, recommends AWS services, and evaluates implementation difficulty and timelines through structured JSON output.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

An MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Medicare claim documentation lookup for CPT codes against live CMS sources, returning structured requirements and document URIs with optional enrichment via RCI APIs.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.