Discover Awesome MCP Servers

HubSpot MCP Server

Uma implementação de servidor que permite que assistentes de IA interajam com dados do HubSpot CRM, possibilitando a criação e o gerenciamento contínuos de contatos e empresas, a recuperação do histórico de atividades e o acesso a dados de engajamento por meio de comandos em linguagem natural.

Optuna MCP Server

A Model Context Protocol server that enables automated optimization and analysis using Optuna, allowing LLMs to perform hyperparameter optimization and interactively analyze optimization results via chat interfaces.

query_table

Um web scraper para dados de tabelas financeiras que implementa o Protocolo de Contexto de Modelo, permitindo que os usuários consultem dados de ações de vários sites financeiros chineses, incluindo THS, TDX e EastMoney.

DigitalOcean MCP Server

A server that exposes DigitalOcean App Platform functionality through standardized tools, enabling AI assistants to directly manage your DigitalOcean apps without writing code or memorizing API endpoints.

AWS Common MCP Servers with CDK Deployment

Servidores MCP implantáveis para serviços comuns da AWS (Location, S3, Aurora PG Data API) usando AWS CDK.

Token Revoke MCP

Um servidor MCP para verificar e revogar permissões de tokens ERC-20 em múltiplas blockchains.

Unity MCP with Ollama Integration

Um servidor que conecta o Unity com modelos de linguagem grandes (LLMs) locais através do Ollama, permitindo que desenvolvedores automatizem fluxos de trabalho, manipulem ativos e controlem o Editor Unity programaticamente sem depender de LLMs baseados na nuvem.

Mantis MCP Server

Espelho de

Task Trellis MCP

An MCP server for Task Trellis that provides tools for AI coding agents to manage tasks, currently featuring a simple hello_world demonstration tool.

Cloudflare Playwright MCP

A server that enables AI assistants to control a browser through tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.

Elixir Linux MCP Server

Servidor MCP de consulta de código-fonte Linux baseado em Elixir.

Aisera MCP Servers

Repositório para hospedar servidores MCP públicos da Aisera.

MCP Project Context Server

A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.

mcp_repo_c11db53a

Este é um repositório de teste criado pelo script de teste do Servidor MCP para o GitHub.

Web3 MCP Server

Servidor Web3 MCP para cadeias EVM (no momento)

BluestoneApps Development Standards (Remote)

Implementa o Protocolo de Contexto do Modelo (MCP) sobre HTTP para fornecer acesso remoto aos padrões de codificação da BluestoneApps e exemplos de código React Native.

Google Calendar MCP Server

Servidor de Protocolo de Contexto de Modelo que fornece acesso contínuo à API do Google Calendar com suporte a operações assíncronas, permitindo o gerenciamento eficiente do calendário por meio de uma interface padronizada.

Slidespeak

Okay, I understand. You want to know how to generate PowerPoint presentations using the Slidespeak API. Here's a breakdown of how to do that, along with important considerations: **Understanding the Slidespeak API** The Slidespeak API allows you to programmatically create and manipulate PowerPoint presentations. You'll typically interact with it using HTTP requests (like POST, GET, PUT, DELETE) to send instructions and receive responses. **General Steps to Generate a PowerPoint Presentation** 1. **Sign Up and Get an API Key:** * You'll need to create an account on the Slidespeak platform and obtain an API key. This key is essential for authenticating your requests. The Slidespeak documentation will guide you through this process. 2. **Choose a Programming Language and Library:** * Select a programming language you're comfortable with (e.g., Python, JavaScript, Java, PHP, Ruby). * Use an HTTP client library in your chosen language to make requests to the Slidespeak API. Examples: * **Python:** `requests` * **JavaScript:** `fetch`, `axios` * **Java:** `HttpClient` (from Apache HttpComponents) * **PHP:** `curl` * **Ruby:** `net/http` 3. **Understand the Slidespeak API Endpoints and Data Structures:** * **Crucially, consult the Slidespeak API documentation.** This is the most important step. The documentation will tell you: * The base URL for the API. * The specific endpoints for creating presentations, adding slides, adding text, images, etc. * The format of the data you need to send in your requests (usually JSON). * The format of the responses you'll receive. * Authentication methods (usually using your API key in a header). 4. **Construct Your API Requests:** * **Create a Presentation:** Typically, you'll start by making a POST request to an endpoint like `/presentations` or `/createPresentation`. You might provide a title for the presentation in the request body. * **Add Slides:** Next, you'll add slides to the presentation. This usually involves a POST request to an endpoint like `/presentations/{presentationId}/slides` or `/addSlide`. You might specify a layout for the slide (e.g., title slide, title and content, blank). * **Add Content to Slides:** For each slide, you'll add text, images, shapes, etc. This will involve POST or PUT requests to endpoints like `/slides/{slideId}/text`, `/slides/{slideId}/image`, `/slides/{slideId}/shape`. You'll need to provide the content (text, image URL, shape type, etc.) and positioning information (coordinates, size). * **Set Formatting:** You can usually control the formatting of text, shapes, and other elements (font, color, size, alignment, etc.) through the API. The Slidespeak documentation will detail the available formatting options. * **Download the Presentation:** Finally, you'll make a GET request to an endpoint like `/presentations/{presentationId}/download` or `/presentations/{presentationId}.pptx` to download the generated PowerPoint file. 5. **Handle API Responses:** * Check the HTTP status code of each response. A status code of 200 (OK) usually indicates success. Other status codes (e.g., 400 Bad Request, 401 Unauthorized, 500 Internal Server Error) indicate errors. * Parse the response body (usually JSON) to extract any relevant information, such as the ID of the created presentation or slide. * Implement error handling to gracefully handle API errors. **Example (Conceptual - Python with `requests`)** ```python import requests import json API_KEY = "YOUR_SLIDESPEAK_API_KEY" # Replace with your actual API key BASE_URL = "https://api.slidespeak.com/v1" # Replace with the actual Slidespeak API base URL def create_presentation(title): url = f"{BASE_URL}/presentations" headers = { "Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json" } data = {"title": title} response = requests.post(url, headers=headers, data=json.dumps(data)) if response.status_code == 201: # Assuming 201 Created is the success code return response.json()["id"] # Assuming the response contains the presentation ID else: print(f"Error creating presentation: {response.status_code} - {response.text}") return None def add_slide(presentation_id, layout="title_and_content"): url = f"{BASE_URL}/presentations/{presentation_id}/slides" headers = { "Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json" } data = {"layout": layout} response = requests.post(url, headers=headers, data=json.dumps(data)) if response.status_code == 201: return response.json()["id"] # Assuming the response contains the slide ID else: print(f"Error adding slide: {response.status_code} - {response.text}") return None def add_text_to_slide(slide_id, text, x, y, width, height): url = f"{BASE_URL}/slides/{slide_id}/text" headers = { "Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json" } data = { "text": text, "x": x, "y": y, "width": width, "height": height } response = requests.post(url, headers=headers, data=json.dumps(data)) if response.status_code == 200: return True else: print(f"Error adding text: {response.status_code} - {response.text}") return False def download_presentation(presentation_id, filename="presentation.pptx"): url = f"{BASE_URL}/presentations/{presentation_id}/download" # Or maybe f"{BASE_URL}/presentations/{presentation_id}.pptx" headers = { "Authorization": f"Bearer {API_KEY}" } response = requests.get(url, headers=headers, stream=True) # stream=True for large files if response.status_code == 200: with open(filename, "wb") as f: for chunk in response.iter_content(chunk_size=8192): f.write(chunk) print(f"Presentation downloaded to {filename}") return True else: print(f"Error downloading presentation: {response.status_code} - {response.text}") return False # Example Usage presentation_id = create_presentation("My Awesome Presentation") if presentation_id: slide_id = add_slide(presentation_id) if slide_id: add_text_to_slide(slide_id, "Hello, Slidespeak!", 100, 100, 500, 50) download_presentation(presentation_id) ``` **Important Considerations and Best Practices:** * **Rate Limiting:** Be aware of the Slidespeak API's rate limits. If you exceed the limits, your requests may be throttled or blocked. Implement error handling and retry mechanisms to deal with rate limiting. * **Error Handling:** Implement robust error handling to catch API errors and handle them gracefully. Log errors for debugging purposes. * **Data Validation:** Validate the data you're sending to the API to ensure it's in the correct format and within the allowed ranges. * **Asynchronous Operations:** For complex presentations, consider using asynchronous operations to avoid blocking your main thread. This is especially important for web applications. * **API Documentation is Key:** I cannot stress this enough. The Slidespeak API documentation is your bible. Refer to it constantly. The example code above is *illustrative* and *will not work* without the correct API endpoints and data structures from the Slidespeak documentation. * **Security:** Protect your API key. Do not hardcode it directly into your code, especially if you're sharing your code publicly. Use environment variables or a configuration file to store your API key. * **Testing:** Thoroughly test your code to ensure it generates presentations correctly and handles errors gracefully. **In summary, to use the Slidespeak API, you need to:** 1. **Get an API key.** 2. **Study the Slidespeak API documentation.** 3. **Use a programming language and HTTP client library to make requests to the API.** 4. **Construct your requests according to the API documentation.** 5. **Handle the API responses and errors.** Good luck! Let me know if you have more specific questions after reviewing the Slidespeak API documentation.

Remote MCP Server (Authless)

A tool for deploying an authentication-free Model Context Protocol server on Cloudflare Workers that can be connected to AI clients like Claude Desktop or the Cloudflare AI Playground.

tavily-mcp

tavily-mcp

RunwayML + Luma AI MCP Server

Fornece ferramentas para interagir com as APIs do RunwayML e Luma AI para geração de vídeo e imagem, incluindo texto para vídeo, imagem para vídeo, aprimoramento de prompt e gerenciamento de gerações.

Home Assistant MCP Server

Controle de Dispositivos Inteligentes 🎮 💡 Luzes: Brilho, cor, RGB 🌡️ Clima: Temperatura, HVAC, umidade 🚪 Persianas/Cortinas: Posição e inclinação 🔌 Interruptores: Liga/Desliga 🚨 Sensores: Monitoramento de estado Organização Inteligente 🏠 Agrupamento com reconhecimento de contexto. Arquitetura Robusta 🛠️ Tratamento de erros, validação de estado...

Tandoor MCP Server

Um servidor de Protocolo de Contexto de Modelo (MCP) para interagir com o Tandoor Recipe Manager.

DataDog MCP Server

Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.

Go-MCP

Criar seus próprios servidores MCP (Minecraft Protocol) com Golang.

DeepSeek Server

Fornece recursos de geração e conclusão de código usando a API DeepSeek, com suporte para encadeamento de ferramentas e otimização de custos.

Postman MCP Server

Um servidor MCP que permite executar coleções Postman usando Newman, permitindo que LLMs executem testes de API e obtenham resultados detalhados através de uma interface padronizada.

Gradle Tomcat MCP Server

Enables management of Gradle-based Tomcat applications with capabilities for starting, stopping, restarting processes and querying application logs.