MCP Documentation Server

An MCP server that provides a tool for sending transactional emails via Mailtrap

MCP server that generates production-grade engineering standards for AI coding assistants. Analyzes your project, auto-detects stack, and sets up instruction files with SOLID principles, testing targets, architecture patterns, CI/CD, and domain-specific rules. Composable YAML templates, 18 domain tags, audit tool, supports Claude, Cursor, Copilot, Windsurf, Cline, Aider. Local stdio server, open source (MIT).

Playwright MCP server

A growing collection of Catholic public-domain source documents, searchable through the Model Context Protocol (MCP). Connect your AI assistant (Claude, or any MCP-compatible client) to this server and search across papal encyclicals, Church Fathers, theological treatises, and other primary sources in their original structure.

The QA Prompts MCP Server is a Model Context Protocol (MCP) server designed specifically for mobile automation teams. It provides structured, reusable QA prompt templates that can be used directly inside Cursor to streamline automation development, debugging, and bug reporting. It integrates with Cursor through MCP, allowing teams to trigger predefined QA workflows using simple slash commands in chat. What It Does This MCP server offers ready-to-use prompts for: Converting manual test cases into automation code Reviewing and refactoring automation frameworks Analyzing test failures Standardizing bug reports Generating Page Object Model (POM) locators from Appium Inspector XML All outputs are structured and formatted to match professional QA standards and framework conventions. How to Use It in Cursor (No Repository Clone Required) You don’t need to clone the repository to use it. Simply add the server configuration to your Cursor MCP configuration file located at: ~/.cursor/mcp.json Add this configuration: Use npx Point to the GitHub repository: swapnilGirishPawar/Custom-MCP-Server-Mobile-QA After saving the configuration, restart Cursor. The QA prompts will then appear in chat when you type /. Available Prompts 1. Manual to Automation Conversion These prompts help automation engineers generate or improve test code: /convert-manual-to-automation Converts manual test cases into complete Appium + Java + TestNG automation scripts following Page Object Model (POM) architecture. /refactor-automation-code Performs a detailed PR-style review of automation code and returns a structured improvement report. /xml-to-pom-locators Converts Appium Inspector page source XML into properly prioritized POM locator declarations (ID → Accessibility ID → XPath). 2. Debugging & Failure Analysis /analyze-test-failure Analyzes Appium failure logs to determine: Root cause Severity Flakiness risk Fix recommendations This helps teams quickly understand why a test failed and how to resolve it. 3. Bug Standardization /standardize-bug-report Converts a simple bug description into a fully structured bug report using a standardized organization template. This ensures consistent, professional bug documentation. How the Workflow Looks in Cursor Open Cursor chat (Cmd+L) or Composer (Cmd+I) Type / Select one of the available QA prompts Fill in the required inputs Submit The AI processes the structured template and returns formatted, production-ready output. Example Workflows Standardizing a Bug You type: /standardize-bug-report Provide: bugDescription: “login button not working on iOS after update” additionalContext (optional): Build 2.3.1, iPhone 15, Premium account The system generates: Proper bug title Detailed issue description Reproduction steps Expected result Structured formatting Converting a Manual Test Case to Automation You type: /convert-manual-to-automation Provide: featureNavigation (e.g., Settings → Notifications → Push Notifications) manualTestCase (your test steps) existingCode (optional Page Objects or BaseTest) The system generates: Complete TestNG test class Proper annotations POM-based implementation Framework-aligned structure Prompt Input Requirements Each prompt requires specific inputs: convert-manual-to-automation Required: featureNavigation, manualTestCase Optional: existingCode refactor-automation-code Required: code xml-to-pom-locators Required: pageSourceXml analyze-test-failure Required: failureLogs standardize-bug-report Required: bugDescription Optional: additionalContext Local Development Setup If you want to modify or extend the MCP server: Clone the GitHub repository Install dependencies using npm Build the project Start it locally For development with auto-reload, use the dev script (requires tsx). To test locally before pushing changes, you can point your Cursor MCP configuration to your local build output (dist/index.js) instead of the GitHub source. Tech Stack The server is built using: TypeScript (strict mode enabled) @modelcontextprotocol/sdk (v1.27+) Zod v4 for input validation stdio transport for integration with Cursor Summary The QA Prompts MCP Server acts as a structured QA assistant embedded inside Cursor. It eliminates repetitive prompt writing and standardizes automation generation, debugging, and bug documentation workflows. It’s particularly useful for: Mobile automation engineers QA leads Teams using Appium + Java + TestNG Organizations aiming for consistent bug reporting standards

MCP server for interacting with Neon Management API and databases

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

Connect your AI agent to 80,000+ German federal court decisions via MCP Server – or run as Apify Actor. Search by keyword, ECLI, court, or date. Structured JSON with full texts, headnotes, and metadata from the official NeuRIS database. No API key needed.

Expose Fascia-deployed Tools and Entity schemas to AI agents via MCP

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Unofficial Apidog MCP server, that gives ability to work with testing features of ApiDog.

A Model Context Protocol (MCP) server that provides tools for discovering Kubernetes services and running kubectl port-forward sessions (optionally with separate log windows). It is designed for MCP clients/LLMs that translate natural language into structured tool calls.

Armor for your AI agent. Carapace is a local-first security system that protects autonomous AI agents from prompt injection and goal drift. It verifies actions against user-defined rules before execution, uses rotating HMAC keys that injected prompts can't forge, re-reads goals every 15 minutes to prevent drift, logs all agent activity, and grades each session with actionable insights that make your agent sharper over time. Five tools: carapace_verify (security checkpoint), carapace_anchor (goal journal + drift detection), carapace_log (action logger), carapace_status (security posture), carapace_review (session grading). Runs locally, zero cloud dependencies, works with OpenClaw and any MCP-compatible agent. Free and open source.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Browser automation and web scraping

Floyd is an open-source scheduling and booking engine with an MCP server that lets AI agents check availability, hold slots, and confirm appointments with two-phase booking and conflict-free resource management.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Location services, directions, and place details

Write notes to Flomo

AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735). The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation - SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with superior prompt adherence. LoRA support (Artiswa v2 style transfer). Upscaling - ESRGAN x4 Upscaler — Real-ESRGAN x4plus on NVIDIA L4 GPU (24GB VRAM). Takes 1024px to 4096px in ~1.15s. Production-grade super-resolution for print and archival quality. AI Enrichment - Golden Codex Metadata Creation (Nova) — 111-field deep visual analysis powered by Gemini VLM. Color harmony, composition, symbolism, emotional journey, provenance chain, archetypal resonance. 2,000-6,000 tokens per artwork. Research-backed: +25.5% VLM improvement (DOI: 10.5281/zenodo.18667735). Metadata Infusion - Atlas XMP/IPTC/C2PA Infusion — Embed Golden Codex metadata directly into image files via ExifTool. XMP-gc namespace, gzip+base64 compressed payload, SHA-256 Soulmark hash, C2PA Content Credentials. Strip-proof: metadata recoverable via hash registry even if XMP is removed. Verification - Aegis Provenance Verification — "Shazam for Art." Perceptual hash lookup against 100K+ scale LSH index (16x4 bands). Verify any image's provenance chain in <500ms. Free tier available. Dataset Access - Alexandria Aeternum — 2M+ museum artworks across 7 world-class institutions (Met, Rijksmuseum, Smithsonian, NGA, Chicago, Cleveland, Paris). Search, preview, and purchase enriched training data. Human_Standard and Hybrid_Premium tiers with auto-generated AB 2013 + EU AI Act compliance manifests. Permanent Storage - Arweave Permanent Storage — Store artifacts on Arweave L1 for 200+ year permanence. No AR tokens needed — pay in USDC via x402 and we handle the rest. Native AR SDK, direct L1 posting, transaction ID returned for on-chain verification. Your art outlives every server. NFT Minting - Mintra Blockchain Minting — Mint provenance-tracked NFTs on Polygon. Metadata-rich tokens with full Golden Codex schema on-chain. Archivus (Arweave) + Mintra (Polygon) pipeline: permanent storage → immutable ownership in one call. Pricing — Genesis Epoch: 20% off all services for 90 days. Volume discounts auto-apply per wallet (100+ 25% off, 500+ 37% off, 2000+ 50% off). Enterprise packages from $8,000.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Private-by-default local-first MCP memory context task orchestrator for long-horizon work across agents and apps.

AI-powered social media analytics MCP server with 6 tools. Get social media audits, hashtag research, content calendars, competitor benchmarking, post generation, and trend analysis. Free tier included — connect to Claude, Cursor, or any MCP client. Built with GPT-4o for actionable social media strategy for small businesses.

One API for Search, Crawling, and Sitemaps

Production-ready MCP Gateway for automotive market data powered by Dremio. Connect Claude, Cursor, GitHub Copilot or any MCP-compatible client to execute SQL queries on Ukrainian automotive datasets — vehicle catalogs, pricing analytics, VIN decoding. Features JWT + API key auth, granular ACL, rate limiting, and native SSE transport (no Node.js needed). Built with FastAPI, Dremio, PostgreSQL, Redis.