Discover Awesome MCP Servers
Extend your agent with 16,118 capabilities via MCP servers.
- All16,118
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
- Virtualization42
- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
- Speech Processing18
- Customer Data Platforms16
- Travel & Transportation14
- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
- Customer Support10
- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
OpenGenes MCP Server
Provides standardized access to aging and longevity research data from the OpenGenes database, enabling AI assistants to query comprehensive biomedical datasets through SQL and structured interfaces.
mcp-searxng-tool
Sebuah server MCP yang memungkinkan Agen AI untuk mencari konten dan informasi situs web eksternal melalui layanan SearXNG.
Notes MCP
An MCP server that enables AI assistants like Claude to access and manipulate Apple Notes on macOS, allowing for retrieving, creating, and managing notes through natural language interactions.
Brewfather Mcp
MCP server untuk mengakses Brewfather
Index Network MCP Server
Enables ChatGPT integration with Index Network's discovery protocol through MCP tools. Provides quick setup with ngrok tunneling for public access and includes health check, echo, and search functionality.
ms-sentinel-mcp-server
ms-sentinel-mcp-server
Google Workspace MCP Server
MCP GitLab Server
Enables comprehensive GitLab integration allowing LLMs to manage projects, issues, merge requests, repository files, CI/CD pipelines, and perform batch operations. Supports advanced features like AI-optimized summaries, smart diffs, and atomic operations with rollback support.
Mcp_server_client
SQL Server Analysis Services MCP Server by CData
SQL Server Analysis Services MCP Server by CData
Controtto
Okay, I understand. I can translate English text to Indonesian. Furthermore, I can analyze Go code and evaluate it based on Domain-Driven Design (DDD) and Clean Architecture principles. I will strive to be strict in my assessment, looking for adherence to the following: **Domain-Driven Design (DDD):** * **Ubiquitous Language:** Is there a clear and consistent language used throughout the code and documentation that reflects the domain? * **Bounded Contexts:** Are the boundaries of different domain areas clearly defined and separated? Are there explicit integration points between contexts? * **Entities:** Are entities properly modeled with identity, attributes, and behavior relevant to the domain? * **Value Objects:** Are value objects immutable and used to represent concepts without identity? * **Aggregates:** Are aggregates used to enforce consistency and transactional boundaries within the domain? Is there a clear aggregate root? * **Repositories:** Are repositories used to abstract data access and persistence details from the domain logic? * **Domain Services:** Are domain services used to encapsulate complex domain logic that doesn't naturally belong to an entity or value object? * **Domain Events:** Are domain events used to decouple different parts of the system and react to changes in the domain? **Clean Architecture:** * **Independence of Frameworks:** Is the core business logic independent of specific frameworks, databases, or UI technologies? * **Testability:** Is the code easily testable, with clear separation of concerns and dependencies? * **Independence of UI:** Can the UI be changed without affecting the core business logic? * **Independence of Database:** Can the database be changed without affecting the core business logic? * **Independence of External Agencies:** Can external services or APIs be changed without affecting the core business logic? * **Dependency Rule:** Dependencies should only point inwards. Inner layers (e.g., Entities, Use Cases) should not depend on outer layers (e.g., Infrastructure, UI). * **Layers:** Are the layers of the architecture clearly defined and separated (e.g., Entities, Use Cases, Interface Adapters, Frameworks & Drivers)? * **Use Cases (Interactors):** Are use cases clearly defined and encapsulate the application's business rules? * **Entities:** Do the entities represent the core business concepts and rules? * **Interface Adapters:** Are interface adapters responsible for converting data between the format most convenient for the use cases and entities, and the format most convenient for some external agency such as the Database or the Web. * **Frameworks and Drivers:** This layer is composed of all the frameworks and tools you’re using. **In my analysis, I will look for:** * **Code Structure:** How well the code is organized into packages and modules. * **Naming Conventions:** Whether the naming is clear, consistent, and reflects the domain. * **Error Handling:** How errors are handled and propagated. * **Test Coverage:** The extent and quality of unit and integration tests. * **Coupling and Cohesion:** How tightly coupled the different parts of the system are, and how well each module focuses on a single responsibility. * **Maintainability:** How easy the code is to understand, modify, and extend. **To get the best results, please provide me with:** * **The Go code you want me to analyze.** * **A brief description of the domain the code is intended to model.** * **Any specific concerns or areas you'd like me to focus on.** I will do my best to provide a thorough and helpful assessment based on these principles. I will also try to explain my reasoning and suggest improvements where possible. Keep in mind that DDD and Clean Architecture are not silver bullets, and there are always trade-offs to consider.
Aseprite MCP Tools
A Python MCP server enabling programmatic interaction with Aseprite for pixel art creation and manipulation with features like drawing operations, palette management, and batch processing.
JEFit MCP Server
Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.
Asana MCP Server
An MCP (Multi-Agent Conversation Protocol) server that enables interacting with the Asana API through natural language commands for task management, project organization, and team collaboration.
MCP API Server
A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.
MCP Server with External Tools
Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.
Alibaba Cloud DMS MCP Server
A Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.
Cyber Sentinel MCP Server
A threat intelligence aggregation server that provides unified access to multiple security sources for analyzing indicators (IPs, domains, hashes, URLs) with confidence scoring.
Confluence MCP Server
Cermin dari
cloudbrowser mcp server
JP's MCP Collection
A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.
Firecrawl MCP Server
Server Protokol Konteks Model yang memungkinkan asisten AI untuk melakukan web scraping, crawling, pencarian, dan ekstraksi data tingkat lanjut melalui API Firecrawl.
Omise MCP Server
Enables comprehensive payment processing through Omise APIs including charges, customers, transfers, refunds, disputes, recurring payments, and webhooks. Provides 51 tools covering all Omise API functionality for secure payment integration.
MCP HTTP Wrapper
sqlite-kg-vec-mcp
Server MCP yang mengintegrasikan knowledge graph dan database vektor berbasis SQLite.
Act-On MCP Server by CData
This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
Repo Explorer
Server MCP untuk penjelajahan repositori Git yang efisien dengan caching tingkat lanjut. Cari pola kode di beberapa repositori, kelola basis kode referensi, dan analisis pola dengan peningkatan kinerja 95%+ lebih. Terintegrasi dengan Claude AI melalui aplikasi desktop atau ekstensi VSCode. Dapat dikonfigurasi dan independen platform.
Test MCP Server
A simple learning-focused MCP server that demonstrates basic functionality with tools for mathematical operations, system information, and email validation, plus sample file resources. Perfect for understanding MCP protocol basics and testing integrations.
Remote MCP Server Authless
A serverless deployment for Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling users to create custom AI tools accessible via Cloudflare AI Playground or Claude Desktop.
MCP Containers
Versi terkontainerisasi dari ratusan server MCP 📡 🧠