Discover Awesome MCP Servers

Draw-it-MCP

A browser-based drawing application with AI integration that enables Claude to analyze artwork, provide feedback on composition and techniques, and discuss artistic concepts through MCP tools.

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

OneMap MCP Server

Provides comprehensive access to Singapore's OneMap APIs, enabling AI assistants to perform location searches, routing, and coordinate conversions. It features over 35 tools for accessing thematic layers, population statistics, and public transport data.

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.

BloodyAD MCP

Enables Active Directory enumeration and abuse operations through the bloodyAD tool. Supports LDAP queries, user/group management, DNS operations, and security testing directly from AI assistants.

Documentation MCP Server

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

mcp-me

Digital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.

Docker Server Manager Go MCP

This looks like a combination of terms related to Docker, server management, Go programming language, and potentially a Media Control Platform (MCP). Here are a few possible translations, depending on the intended meaning: **Option 1 (Most Literal, assuming it's a project name):** * **Docker 服务器管理器 Go MCP:** (Docker Fúwùqì Guǎnlǐqì Go MCP) - This is a direct translation, keeping "MCP" as is. It's suitable if "MCP" is a well-known acronym within a specific context. **Option 2 (More Descriptive, if "MCP" is a Media Control Platform):** * **使用 Go 语言开发的 Docker 服务器媒体控制平台管理器:** (Shǐyòng Go yǔyán kāifā de Docker fúwùqì méitǐ kòngzhì píngtái guǎnlǐqì) - This translates to "Docker server media control platform manager developed using the Go language." This is more verbose but clarifies the purpose. **Option 3 (Slightly Shorter, if "MCP" is a Media Control Platform):** * **Go 语言 Docker 服务器媒体控制管理器:** (Go yǔyán Docker fúwùqì méitǐ kòngzhì guǎnlǐqì) - This translates to "Go language Docker server media control manager." It's a bit more concise than Option 2. **Option 4 (If "MCP" is a specific product or technology):** * **Docker 服务器管理器 Go [MCP 的中文名称]:** (Docker Fúwùqì Guǎnlǐqì Go [MCP de zhōngwén míngchēng]) - This is a placeholder. You would replace "[MCP 的中文名称]" with the actual Chinese name of the MCP product or technology. For example, if "MCP" refers to "Media Control Platform X," and "Media Control Platform X" is known as "媒体控制平台X (Méitǐ Kòngzhì Píngtái X)" in Chinese, then the translation would be: "Docker 服务器管理器 Go 媒体控制平台X" **Which translation is best depends on the context. To give you the *best* translation, I need more information about what "dockerServerMangerGoMCP" refers to. Specifically:** * **What is "MCP"?** Is it a specific product, a general type of platform, or something else? * **What is the purpose of this "dockerServerMangerGoMCP"?** What does it do? Once you provide more context, I can give you a much more accurate and helpful translation.

Record MCP Server

Enables storing and managing dynamic review records with custom schemas for any category (coffee, whisky, wine, etc.), supporting both local filesystem and Cloudflare R2 storage with flexible field definitions.

Vertica MCP Server

A Model Context Protocol server that enables AI assistants to interact with Vertica databases through SQL queries, schema inspection, database documentation, and data export capabilities.

@agenticbits/claude-plugin

Adds a live git branch status bar to the Claude interface for monitoring multiple repositories simultaneously. It provides tools for managing repository tracking and visibility through natural language commands.

discord-mcp

MCP server with over 70 tools to manage and maintain an entire Discord server.

arxiv-latex MCP Server

一个用于 Claude Desktop 的 MCP 服务器，它使用 arxiv-to-prompt 来获取和处理 arXiv LaTeX 源代码，以便精确地解释科学论文中的数学表达式。

Firecrawl MCP Server

一个模型上下文协议服务器，它使 AI 助手能够通过 Firecrawl API 执行高级网络抓取、爬行、搜索和数据提取。

🚀 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.

g-gremlin-dynamics-mcp

A dedicated MCP server for interacting with Microsoft Dynamics 365 and Dataverse tools via the g-gremlin CLI. It enables users to read, analyze, and perform write operations on Dataverse environments through supported MCP clients.

Larry

Social coding platform for AI agents. Post snippets, fork code, vote, follow agents, build reputation. REST API + MCP server.

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 官方 MCP 服务器 (DoiT guānfāng MCP fúwùqì)

QEMU Screenshot MCP Server

Enables AI agents to capture high-quality screenshots from running QEMU virtual machines using the QEMU Machine Protocol (QMP), automatically discovering VMs and returning screenshots as PNG images.

Marketing Master – Landing Page Evaluator

Enables rapid analysis of landing pages for SEO compliance, conversion structure, color contrast accessibility, and performance metrics with automated optimization suggestions and code snippets.

Controtto

Okay, I understand. I will do my best to translate English text into Chinese, and when presented with Go code, I will attempt to analyze it from the perspective of Domain-Driven Design (DDD) and Clean Architecture principles. **Specifically, when analyzing Go code, I will look for:** * **DDD Aspects:** * **Ubiquitous Language:** Is the code using terminology that aligns with the business domain? Are the names of variables, functions, and types meaningful to domain experts? * **Entities:** Are there well-defined entities with identity and behavior? * **Value Objects:** Are there immutable value objects representing domain concepts? * **Aggregates:** Are aggregates used to enforce consistency and manage transactions? Are aggregate roots clearly defined? * **Domain Services:** Are domain services used to encapsulate complex domain logic that doesn't naturally belong to an entity or value object? * **Repositories:** Are repositories used to abstract data access and persistence? * **Domain Events:** Are domain events used to decouple different parts of the system and react to changes in the domain? * **Bounded Contexts:** (If applicable) Is the code organized into bounded contexts with clear boundaries and responsibilities? * **Clean Architecture Aspects:** * **Dependency Inversion Principle (DIP):** Are high-level modules not dependent on low-level modules? Are abstractions used to decouple layers? * **Interface Segregation Principle (ISP):** Are interfaces small and focused, avoiding unnecessary dependencies? * **Single Responsibility Principle (SRP):** Do classes/modules have a single, well-defined responsibility? * **Layers:** Are there distinct layers (e.g., presentation, application, domain, infrastructure)? * **Use Cases/Interactors:** Are use cases clearly defined and implemented as interactors? * **Entities (Domain Layer):** Is the core business logic (entities and domain rules) independent of frameworks and infrastructure? * **Frameworks & Drivers (Outer Layer):** Are frameworks and infrastructure concerns kept separate from the core business logic? * **Testability:** Is the code easily testable, with clear separation of concerns? **My analysis will be strict and critical.** I will point out potential violations of these principles and suggest improvements. I will also consider the trade-offs involved in applying these principles, as strict adherence is not always practical or beneficial. **Important Considerations:** * **Context is Key:** My analysis will be limited by the information you provide. The more context you give me about the domain, the requirements, and the overall architecture, the better I can assess the code. * **Subjectivity:** DDD and Clean Architecture are not rigid rules, but rather guidelines. There is room for interpretation and different approaches. My analysis will reflect my understanding of these principles, which may differ from yours. * **Code Completeness:** I can only analyze the code you provide. I cannot infer the entire system architecture or domain model from a small snippet. **Example:** If you provide me with the following Go code: ```go package main import "fmt" type User struct { ID int Name string Email string } func SaveUser(db *sql.DB, user User) error { _, err := db.Exec("INSERT INTO users (name, email) VALUES (?, ?)", user.Name, user.Email) return err } func main() { // ... database connection ... user := User{Name: "John Doe", Email: "john.doe@example.com"} err := SaveUser(db, user) if err != nil { fmt.Println("Error saving user:", err) } } ``` I might respond with something like: "This code has several potential issues from a DDD and Clean Architecture perspective: * **Lack of Domain Layer:** The `User` struct is directly coupled to the database. It should be part of a dedicated domain layer, separate from infrastructure concerns. * **Anemic Domain Model:** The `User` struct only contains data and lacks behavior. Consider adding methods to the `User` struct that encapsulate domain logic related to users. * **Direct Database Access:** The `SaveUser` function directly interacts with the database. This violates the Dependency Inversion Principle. A repository interface should be used to abstract data access. * **Missing Repository:** There is no repository interface or implementation to handle user persistence. * **No Use Case:** The `main` function directly calls the `SaveUser` function. This should be encapsulated in a use case or interactor. To improve this code, consider: 1. Creating a `domain` package with the `User` entity and any related value objects. 2. Defining a `UserRepository` interface in the `domain` package. 3. Implementing the `UserRepository` interface in an `infrastructure` package, using a database connection. 4. Creating an `application` package with a `CreateUser` use case that uses the `UserRepository` to persist the user. This would result in a more decoupled, testable, and maintainable codebase that adheres to DDD and Clean Architecture principles." **Now, please provide me with the text you want me to translate or the Go code you want me to analyze.**

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.

ZMCPTools

A multi-agent orchestration platform for Claude Code providing 61 tools for autonomous agent coordination, browser automation, and documentation intelligence. It features LanceDB-powered semantic search, knowledge graph memory systems, and advanced task management for complex development workflows.

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.

ns-bridge

An MCP server that enables AI assistants to interact with the Netherlands Railways (NS) API for route planning, pricing, and real-time departure information. It provides tools for searching stations, planning trips with connections, and viewing real-time departure boards.