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SQL Server Analysis Services MCP Server by CData
SQL Server Analysis Services MCP Server by CData

Pokemon MCP Server
Enables users to access comprehensive Pokemon data through the PokeAPI, including Pokemon stats, types, descriptions, move details, and complete evolution chains. Allows Claude to answer Pokemon-related questions with detailed information about any Pokemon, their abilities, and evolutionary relationships.
ms-365-mcp-server
마이크로소프트 365 MCP 서버

Controtto
Okay, I understand. I can translate English text into Korean. Furthermore, I can analyze Go code and provide feedback based on Domain-Driven Design (DDD) and Clean Architecture principles. I will strive to be strict in my evaluation, looking for: * **Clear Domain Modeling:** Are the domain concepts well-defined and represented in the code? Are aggregates, entities, value objects, and domain services appropriately used? * **Ubiquitous Language:** Is the code using a consistent and understandable vocabulary that reflects the domain? * **Separation of Concerns:** Is the code properly layered, with a clear separation between the domain logic, application logic, infrastructure concerns (database, external APIs), and presentation layer? * **Dependency Inversion Principle (DIP):** Are high-level modules not dependent on low-level modules? Are abstractions used to decouple components? * **Testability:** Is the code designed in a way that makes it easy to write unit and integration tests? * **Clean Code Principles:** Is the code readable, maintainable, and well-documented? Are functions and methods small and focused? * **Hexagonal Architecture (Ports and Adapters):** Are the core domain logic and application services isolated from external dependencies through ports and adapters? **When you provide Go code, please also provide context:** * **What is the purpose of the code?** What problem is it trying to solve? * **What is the domain?** What are the key domain concepts? * **What are the architectural goals?** Are you aiming for a specific architecture (e.g., Hexagonal, Onion)? The more information you give me, the better I can assess the code against DDD and Clean Architecture principles. **Example:** You might provide code like this: ```go // User service for managing user accounts. package user import ( "database/sql" "fmt" ) type User struct { ID int Name string Email string } func CreateUser(db *sql.DB, name string, email string) error { _, err := db.Exec("INSERT INTO users (name, email) VALUES (?, ?)", name, email) if err != nil { return fmt.Errorf("failed to create user: %w", err) } return nil } func GetUser(db *sql.DB, id int) (*User, error) { row := db.QueryRow("SELECT id, name, email FROM users WHERE id = ?", id) user := &User{} err := row.Scan(&user.ID, &user.Name, &user.Email) if err != nil { return nil, fmt.Errorf("failed to get user: %w", err) } return user, nil } ``` And then ask: "This is a simple user service. The domain is user management. I'm trying to follow DDD principles. How well does this code adhere to DDD and Clean Architecture?" I would then analyze the code and provide feedback, such as: * **Domain Modeling:** The `User` struct is a good start, but it might be missing domain behavior. Consider adding methods to the `User` struct that encapsulate domain logic related to users (e.g., `ChangeEmail`, `Validate`). * **Separation of Concerns:** The `CreateUser` and `GetUser` functions directly interact with the database. This tightly couples the domain logic to the infrastructure. Consider introducing a repository interface to abstract away the database interaction. * **Dependency Inversion:** The `CreateUser` and `GetUser` functions depend directly on `*sql.DB`. This makes it difficult to test. Consider using an interface for the database connection. * **Ubiquitous Language:** The code uses terms like "user," "name," and "email," which are generally good. However, consider if there are more specific domain terms that could be used to make the code more expressive. I'm ready when you are. Please provide your code and context!

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.

SSE MCP Server with JWT Authentication
JWT 기반 보안 인증을 통해 SSE 전송으로 여러 AI 도구를 제공하고, 동적 도구 등록 및 세션 관리를 지원하는 모델 컨텍스트 프로토콜 서버.

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 Game Helper
게임 개발자들이 전투 밸런싱, 스킬 분석, 레벨 페이싱, 시뮬레이션과 관련된 작업을 수행하는 데 도움을 주는 AI 기반 도구를 제공하는 사용자 정의 모델 컨텍스트 프로토콜 (MCP) 서버.

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.
Figma MCP Server

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
거울

douyin-mcp-server
douyin-mcp-server
Data Dictionary MCP
AI 에이전트들을 조정하여 데이터베이스 테이블을 위키피디아 스타일의 데이터 사전으로 변환하는 모델 컨텍스트 프로토콜(MCP) 서버.

Me-MCP
A personal MCP Server that allows AI agents to retrieve your resume and contact you through Discord webhooks, deployable via Cloudflare Workers.
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.

Enterprise MCP Server
A production-ready Model Context Protocol server that integrates with ServiceNow for enterprise workflows and provides comprehensive health monitoring capabilities.
Firecrawl MCP Server
AI 어시스턴트가 Firecrawl API를 통해 고급 웹 스크래핑, 크롤링, 검색 및 데이터 추출을 수행할 수 있도록 하는 모델 컨텍스트 프로토콜 서버입니다.
🚀 Pentest MCP: A Comprehensive Tool for Professional Penetration Testing
NOT for educational purposes: An MCP server for professional penetration testers including nmap, go/dirbuster, nikto, JtR, wordlist building, and more.

OpenFIGI API MCP Server
An MCP server that enables interaction with the OpenFIGI API, allowing users to map securities to financial instrument identifiers through natural language.

Documentation MCP Server
A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

MSFS SDK MCP Server
A modern MCP server that provides fast, structured access to Microsoft Flight Simulator SDK documentation through natural language and structured queries.

@bldbl/mcp
This package enables AI assistants (Claude, GPT, etc.) to work directly with Buildable projects using the Model Context Protocol (MCP). AI assistants can get project context, manage tasks and track progress (for projects created at https://bldbl.dev).
DoiT MCP Server
DoiT 공식 MCP 서버

Materials Project MCP
A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.

MCP SQL Server
A Model Context Protocol server that provides AI assistants with comprehensive access to SQL databases, enabling schema inspection, query execution, and database operations with enterprise-grade security.

ZeroEntropy Zerank MCP Server
Provides document reranking capabilities via the ZeroEntropy Zerank API, allowing AI assistants to sort documents by relevance to a user query through the Model Context Protocol.

MCPAuth
A self-hostable OAuth 2.0 server designed for the Model-Context-Protocol (MCP) that enables you to secure your MCP applications with a robust implementation you control.