Discover Awesome MCP Servers

Controtto

Okay, I understand. I can translate English text to Portuguese. 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: * **DDD:** * **Ubiquitous Language:** Is the code using terminology that is clear, consistent, and reflects the domain language understood by domain experts? * **Bounded Contexts:** Are the boundaries of different domain areas clearly defined and enforced? Are there explicit integration points between contexts? * **Entities:** Are entities properly modeled with identity, attributes, and behavior? * **Value Objects:** Are value objects immutable and representing concepts without identity? * **Aggregates:** Are aggregates used to enforce consistency and transactional boundaries? Is the aggregate root clearly defined? * **Repositories:** Are repositories used to abstract data access and persistence concerns? * **Domain Services:** Are domain services used for complex operations that don'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 domain logic independent of specific frameworks and libraries? * **Testability:** Is the code easily testable, with clear separation of concerns? * **Independence of UI:** Is the UI completely decoupled from the domain logic? * **Independence of Database:** Is the database implementation a detail that can be easily swapped out? * **Use Cases (Interactors):** Are use cases clearly defined and implemented as interactors that orchestrate the domain logic? * **Entities (Domain Layer):** Is the domain layer pure and free of infrastructure concerns? * **Controllers/Presenters:** Are controllers responsible for handling input and delegating to use cases, and presenters responsible for formatting output for the UI? * **Gateways/Repositories (Interface Adapters):** Are gateways used to abstract external systems and databases? * **Dependency Rule:** Does the code adhere to the dependency rule, with dependencies pointing inwards towards the core domain? **In my analysis, I will consider:** * **Code Structure:** How well the code is organized into layers and packages. * **Naming Conventions:** Whether the naming is clear, consistent, and reflects the domain. * **Coupling and Cohesion:** How tightly coupled the different parts of the system are, and how well each module focuses on a single responsibility. * **Error Handling:** How errors are handled and propagated throughout the system. * **Test Coverage:** The extent to which the code is covered by unit and integration tests. **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. I will point out potential violations of DDD and Clean Architecture principles, and suggest improvements where possible. Keep in mind that these are principles and guidelines, and the best approach will always depend on the specific context of the project. Let me know when you're ready to provide the code!

HashPilot

A Model Context Protocol server that enables AI assistants to interact with Hedera blockchain in real-time, allowing them to check account balances, view block information, and estimate transaction costs.

wrds-mcp

Provides AI assistants with natural language access to WRDS financial data for credit and equity analysis through 29 specialized tools. It enables users to query bond history, credit ratings, financial metrics, and syndicated loans using simple conversational prompts.

Readwise Reader MCP Server

Enables Claude to interact with the Readwise Reader API, allowing for saving, listing, updating, and deleting documents with complete metadata and content access through natural language.

Kogna MCP Server

Enables interaction with Kogna's multi-agent AI avatar system, allowing users to start conversations, switch between specialized avatars and rooms, and manage conversation history through natural language.

waveapps-mcp

This MCP server enables AI assistants like Claude to perform Wave Accounting bookkeeping tasks—such as drafting invoices, managing customers, recording payments, and looking up financial data—through natural language commands.

Office-PowerPoint-MCP

Enables AI assistants to programmatically create, manipulate, and analyze Microsoft PowerPoint presentations with advanced formatting and template management.

ms-sentinel-mcp-server

ms-sentinel-mcp-server

tokencost-mcp-server

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

Music Media MCP Server

Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.

hive-memory

Provides AI coding agents with persistent, graph-connected memory across projects, enabling cross-project context retrieval via synaptic connections and hybrid search.

mcp-ssh-tool

SSH automation MCP server that enables Claude and ChatGPT to execute commands, manage files, install packages, and control services on remote servers over SSH — supporting password, key, and agent authentication.

graphql-to-mcp

Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.

Website to Markdown MCP Server

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Tripo3D MCP

A tool integration that wraps Tripo3D API capabilities for 3D model generation, texturing, animation, and format conversion, supporting text/image-to-3D workflows via natural language commands.

subconscious-mcp

Local-first semantic memory layer for MCP agents. Recall, remember, forget, stats over stdio. ChromaDB plus sentence-transformers, all on-machine.

openrpc-mpc-server

A Model Context Protocol (MCP) server that provides JSON-RPC functionality through OpenRPC.

bluesky-mcp

A Model Context Protocol (MCP) server for Bluesky that can post on your behalf by using the AT Protocol.

CSVGlow

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

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.

Easyship MCP

Enables AI agents to manage global shipping operations, including rate comparison, shipment creation, label purchasing, tracking, pickup scheduling, address validation, billing, and analytics, via natural language.

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.

OpenStreetMap MCP Server

Aprimora as capacidades de LLMs com serviços baseados em localização e dados geoespaciais, permitindo que os usuários geocodifiquem endereços, encontrem pontos de interesse próximos, obtenham direções, otimizem pontos de encontro e analisem bairros.

SB OGC MCP

MCP server that gives Claude access to Dutch mobility data via Studio Bereikbaar's OGC API, enabling querying of travel surveys, traffic models, and accessibility maps.

GraphHub

Transforms codebases into a knowledge graph for AI agents, enabling semantic search, impact analysis, and persistent session memory with up to 94% token savings.

MCP Workspace Server

Provides secure, sandboxed file system access for AI assistants to read, write, and manage project files with controlled command execution capabilities, all confined to a designated workspace directory.

shopify-mcp

MCP server for Shopify Admin API with a ComfyUI bridge for AI product image generation. Covers products, orders, inventory, and customers.