Discover Awesome MCP Servers

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Espelho de

PostgREST

Este é um servidor MCP para PostgREST. Ele permite que LLMs realizem consultas e operações em bancos de dados Postgres através do PostgREST. Este servidor funciona tanto com projetos Supabase (que usam PostgREST) quanto com servidores PostgREST independentes.

mc-server-clash-of-clans

Servidor MCP para a API do Clash of Clans. Consegue obter informações de jogadores, clãs, analisar guerras em andamento, bem como históricos de guerra (desde que sejam públicos).

UseScraper

Um servidor MCP baseado em TypeScript que utiliza a API UseScraper para fornecer capacidades de web scraping, permitindo que os usuários extraiam conteúdo de páginas da web em vários formatos.

Google Meet MCP Server

O servidor MCP do Google Meet permite que agentes de IA criem, gerenciem e recuperem reuniões do Google Meet. Construído sobre o Protocolo de Contexto de Modelo (Model Context Protocol), ele expõe ferramentas para agendar, atualizar e excluir reuniões, facilitando a integração das funcionalidades do Google Meet.

Tiny Chat

This is an LLM application with chat functionality, featuring chat using RAG, a database, and MCP server capabilities. The UI is designed for Japanese users.

MCP Greetings Server

Enables AI assistants to greet users in 7 different languages including English, Spanish, French, German, Japanese, Chinese, and Korean. A lightweight multilingual greeting tool for the Model Context Protocol.

AWS Nova Canvas MCP Server

Um servidor MCP que permite gerar e editar imagens usando o modelo Nova Canvas da Amazon Bedrock, com suporte a recursos como geração de texto para imagem, pintura interna (inpainting), pintura externa (outpainting), variação de imagem e remoção de fundo.

Spurs Blog Mcp Server

An MCP server for Pounding The Rock blog, that provides comprehensive coverage of the San Antonio Spurs.

MCP Template Server

A Python starter template for building MCP servers with client connection management and Jupyter notebook integration. Provides a structured foundation for adding custom tools, prompts, and workflows to create AI-powered applications.

Writer MCP

A Model Context Protocol server that manages character knowledge and relationships for creative writing projects, offering semantic search and AI-powered analysis.

Metabase MCP Server

Enables LLMs to interact with Metabase instances through 33 tools for querying cards, dashboards, databases, collections, and executing SQL queries against your Metabase installation.

Unichat

I understand that you want me to translate text from English to Portuguese and that you are mentioning various AI providers (OpenAI, MistralAI, Anthropic, xAI, Google AI) and a protocol (MCP) for interacting with them. You also mention the need for a vendor API key. However, I am unable to directly interact with external APIs or use specific protocols like MCP. I am a language model and do not have the capability to execute code or manage API keys. To get your English text translated to Portuguese using one of those AI providers, you would need to: 1. **Choose an AI provider:** Decide which provider (OpenAI, MistralAI, etc.) you want to use. 2. **Obtain an API key:** Sign up for an account with the chosen provider and obtain an API key. 3. **Implement the MCP protocol (or the provider's specific API):** You'll need to write code (likely in Python, JavaScript, or another programming language) to format your request according to the MCP protocol or the specific API documentation of the chosen provider. This code will include your API key for authentication. 4. **Send the request:** Your code will send the request to the provider's API endpoint. 5. **Receive and process the response:** The API will return a response containing the translated text. Your code will need to parse this response and extract the Portuguese translation. **Example (Conceptual - using a hypothetical MCP library in Python):** ```python # This is a conceptual example and may not be directly executable. # You would need a real MCP library and a valid API key. import mcp api_key = "YOUR_API_KEY" # Replace with your actual API key provider = "openai" # Or "mistralai", "anthropic", etc. text_to_translate = "Hello, how are you?" try: translation = mcp.translate( text=text_to_translate, source_language="en", target_language="pt", provider=provider, api_key=api_key ) print(f"Original text: {text_to_translate}") print(f"Translation: {translation}") except mcp.APIError as e: print(f"Error: {e}") ``` **In summary, I can't perform the translation directly. You need to use a programming language and the appropriate API libraries to interact with the AI providers you mentioned.** If you provide me with the English text you want translated, I can give you the Portuguese translation *as if* I had used one of those services. However, remember that this will be based on my own internal model and might not be identical to the output of a specific AI provider.

ExpressJS MCP

Exposes Express.js API endpoints as MCP tools, preserving existing schemas and authentication behavior. Supports streaming responses and can be mounted directly to existing Express apps or run as a standalone gateway.

SAP Business One MCP Server

Enables interaction with SAP Business One API through Azure Container Apps with VNet connectivity. Provides secure access to SAP data and operations through natural language interface.

Qiita API MCP Server

Enables interaction with Qiita, a Japanese developer community platform, through its API v2. Supports comprehensive operations including article management, user interactions, tag following, and commenting with Japanese language support.

mcp-server-cve-knowledge-base

Servidor MCP que fornece uma base de conhecimento em tempo real para CVEs

Vapi MCP Server

Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.

LocalTides MCP Server

This server provides tools for interacting with the NOAA Tides and Currents API, enabling access to water level data, tide predictions, currents data, station information, and astronomical information like moon phases and sun times.

Jenkins MCP Server

Enables comprehensive Jenkins automation through MCP interface, allowing users to manage builds, jobs, artifacts, and queues with natural language commands. Supports build triggering, monitoring, artifact retrieval, and system status checks with automatic CSRF protection and authentication.

@profullstack/mcp-server

@profullstack/mcp-server

PostgreSQL Remote Cloudflare MCP Worker

A Cloudflare Workers-based MCP server that provides PostgreSQL database access capabilities to AI assistants, allowing them to query and manipulate PostgreSQL databases through the Model Context Protocol.

DuckDuckGo MCP Server

Enables web search through DuckDuckGo and webpage content fetching with intelligent text extraction. Features built-in rate limiting and LLM-optimized result formatting for seamless integration with language models.

Apifox MCP Server

Enables AI assistants to fetch and understand API endpoint definitions from Apifox projects in real-time. Supports retrieving complete API specifications including request methods, parameters, headers, and response schemas to improve development efficiency and code generation quality.

TodoList MCP Server

Enables full management of ToDoList (.tdl) XML files with CRUD operations, hierarchical task support, and advanced filtering. Maintains compatibility with the ToDoList desktop application while allowing programmatic task management.

MCP Wikidata Server

Provides access to Wikidata for Large Language Models through the Model Context Protocol, offering tools for entity search, detailed retrieval, SPARQL queries, relation exploration, and property-based searches.

Discourse MCP

Enables AI agents to interact with Discourse forums through search, reading topics/posts, managing categories and users. Supports secure authentication and optional write operations with rate limiting.