Discover Awesome MCP Servers

@tailor-platform/tailor-mcp

A ferramenta de linha de comando tailorctl, com foco na funcionalidade do servidor MCP (Model Context Protocol).

Ableton Copilot MCP

Um servidor de Protocolo de Contexto de Modelo que permite a interação em tempo real com o Ableton Live, permitindo que assistentes de IA controlem a criação de músicas, o gerenciamento de faixas, as operações de clipes e os fluxos de trabalho de gravação de áudio.

FastAPI MCP OpenAPI

A FastAPI library that provides Model Context Protocol tools for endpoint introspection and OpenAPI documentation, allowing AI agents to discover and understand API endpoints.

VictoriaMetrics-mcp-server

VictoriaMetrics-mcp-server

100ms Raydium Sniper MCP

Permite a execução de "token sniping" de alto desempenho na Raydium DEX com suporte multi-região e integração com Claude AI, permitindo que os usuários monitorem e executem compras de tokens através de comandos em linguagem natural.

Brave Search MCP Server

Enables web searching and local business discovery through the Brave Search API. Provides both general web search with pagination and filtering controls, plus local business search with automatic fallback to web results.

Tailscale MCP Server

Provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized Model Context Protocol interface.

float-mcp

A community MCP server for float.com.

Pokémcp

Um servidor de Protocolo de Contexto de Modelo que fornece informações sobre Pokémon conectando-se à PokeAPI, permitindo que os usuários consultem dados detalhados de Pokémon, descubram Pokémon aleatórios e encontrem Pokémon por região ou tipo.

kubevirt-mcp-server

Um servidor de Protocolo de Contexto de Modelo simples para KubeVirt.

Facebook Ads Library MCP Server

Enables searching and analyzing Facebook's public ads library to see what companies are currently running, including ad images/text, video links, and campaign insights.

MCP Rewatch

A Model Context Protocol server that enables AI coding assistants like Claude Code to manage long-running development processes, solving the problem where Claude Code cannot see output from processes like 'npm run dev' that don't exit immediately.

Cryptocurrency Market Data Server

Fornece dados do mercado de criptomoedas em tempo real e históricos através da integração com as principais bolsas. Este servidor permite que LLMs como o Claude busquem preços atuais, analisem tendências de mercado e acessem informações detalhadas de negociação.

TFT MCP Server

Este servidor permite que Claude acesse dados do jogo Teamfight Tactics (TFT), permitindo que os usuários recuperem históricos de partidas e informações detalhadas das partidas através da API da Riot Games.

Monad MCP Server

Enables interaction with the Monad testnet to check balances, examine transaction details, get gas prices, and retrieve block information.

DeepClaude MCP Server

This server integrates DeepSeek and Claude AI models to provide enhanced AI responses, featuring a RESTful API, configurable parameters, and robust error handling.

Sola MCP Server

A stateless HTTP server implementing the Model Context Protocol (MCP) that enables applications to interact with Social Layer platform data including events, groups, profiles, and venues via standardized endpoints.

Todo List MCP Server

A TypeScript-based MCP server that enables users to manage tasks through natural conversation with Claude. Features complete CRUD operations, priority management, tagging, search functionality, and intelligent productivity insights with robust Zod validation.

Google Workspace MCP Server

Um servidor de Protocolo de Contexto de Modelo que fornece ferramentas para interagir com as APIs do Gmail e do Google Agenda, permitindo o gerenciamento programático de e-mails e eventos de calendário.

Document Intelligence MCP Server

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

MCP Server for EAI Services

Implements a Multi-Channel Platform Server that integrates with existing Enterprise Application Integration services, providing tools and endpoints to securely fetch network reports and access management features.

azure-devops-mcp

Here's a breakdown of what "Azure DevOps MCP C# server and client code" likely refers to, along with explanations and examples. It's important to understand that "MCP" (Microsoft Certified Professional) is a broad term, and Azure DevOps is a complex system. Therefore, I'll provide a general overview and then suggest how to narrow down your search for more specific code examples. **Understanding the Terms** * **Azure DevOps:** A suite of services from Microsoft that covers the entire software development lifecycle. Key components include: * **Azure Boards:** Work item tracking (tasks, bugs, user stories). * **Azure Repos:** Source code management (Git). * **Azure Pipelines:** Continuous integration and continuous delivery (CI/CD). * **Azure Test Plans:** Test management. * **Azure Artifacts:** Package management (NuGet, npm, Maven, etc.). * **MCP (Microsoft Certified Professional):** A general term for someone who has passed a Microsoft certification exam. It doesn't directly imply specific code skills. It *suggests* the person has a certain level of understanding of Microsoft technologies. * **C#:** A modern, object-oriented programming language widely used for developing applications on the .NET platform. * **Server Code:** Code that runs on a server (e.g., a web server, an application server, an Azure Function). In the context of Azure DevOps, this might be code that interacts with the Azure DevOps REST API or handles webhooks. * **Client Code:** Code that runs on a client device (e.g., a web browser, a desktop application, a mobile app). This code typically interacts with a server to retrieve data or perform actions. In the context of Azure DevOps, this might be a web application that displays work items or a command-line tool that automates tasks. **What "Azure DevOps MCP C# server and client code" Likely Means** Someone with an MCP certification who is proficient in C# might write code to: 1. **Interact with the Azure DevOps REST API:** This is the most common scenario. The Azure DevOps REST API allows you to programmatically access and manage almost everything in Azure DevOps. 2. **Create Azure DevOps Extensions:** You can extend the functionality of Azure DevOps by creating extensions that add new features to the web interface or integrate with other services. 3. **Build Custom Build/Release Tasks:** You can create custom tasks for Azure Pipelines to automate specific steps in your CI/CD process. 4. **Develop Integrations with Other Systems:** You might write code to integrate Azure DevOps with other tools, such as Slack, Microsoft Teams, or Jira. 5. **Automate Azure DevOps Administration:** You can use the REST API to automate tasks such as creating projects, managing users, and configuring permissions. **General Examples (Illustrative)** These are simplified examples to give you an idea. Real-world code would be more complex and handle error conditions, authentication, and other details. **1. Server-Side C# Code (Azure Function) to Get Work Items:** ```csharp using System; using System.IO; using System.Threading.Tasks; using Microsoft.AspNetCore.Mvc; using Microsoft.Azure.WebJobs; using Microsoft.Azure.WebJobs.Extensions.Http; using Microsoft.AspNetCore.Http; using Microsoft.Extensions.Logging; using Newtonsoft.Json; using System.Net.Http; using System.Net.Http.Headers; public static class GetWorkItems { [FunctionName("GetWorkItems")] public static async Task<IActionResult> Run( [HttpTrigger(AuthorizationLevel.Function, "get", Route = null)] HttpRequest req, ILogger log) { log.LogInformation("C# HTTP trigger function processed a request."); string organization = "your-organization"; // Replace with your Azure DevOps organization string project = "your-project"; // Replace with your Azure DevOps project string pat = "your-personal-access-token"; // Replace with your PAT string requestUrl = $"https://dev.azure.com/{organization}/{project}/_apis/wit/workitems?api-version=7.0"; using (HttpClient client = new HttpClient()) { client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json")); client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(System.Text.ASCIIEncoding.ASCII.GetBytes($":{pat}"))); using (HttpResponseMessage response = await client.GetAsync(requestUrl)) { response.EnsureSuccessStatusCode(); // Throw exception if not successful string responseBody = await response.Content.ReadAsStringAsync(); // Deserialize the JSON response into a C# object (you'll need to define a class to represent the work item structure) // Example: // var workItems = JsonConvert.DeserializeObject<WorkItem[]>(responseBody); return new OkObjectResult(responseBody); // Return the JSON response } } } } ``` **Explanation:** * This is an Azure Function triggered by an HTTP request. * It uses the `HttpClient` class to make a GET request to the Azure DevOps REST API. * It uses a Personal Access Token (PAT) for authentication. **Important:** Never hardcode PATs in production code. Use environment variables or Azure Key Vault. * It retrieves work items from a specified organization and project. * It deserializes the JSON response (you'll need to define a `WorkItem` class to match the structure of the JSON). * It returns the JSON response as an `OkObjectResult`. **2. Client-Side C# Code (Console Application) to Create a Work Item:** ```csharp using System; using System.Net.Http; using System.Net.Http.Headers; using System.Text; using System.Threading.Tasks; using Newtonsoft.Json; public class Program { public static async Task Main(string[] args) { string organization = "your-organization"; // Replace with your Azure DevOps organization string project = "your-project"; // Replace with your Azure DevOps project string pat = "your-personal-access-token"; // Replace with your PAT string requestUrl = $"https://dev.azure.com/{organization}/{project}/_apis/wit/workitems/$Task?api-version=7.0"; using (HttpClient client = new HttpClient()) { client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json")); client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(System.Text.ASCIIEncoding.ASCII.GetBytes($":{pat}"))); // Define the work item fields var workItem = new[] { new { op = "add", path = "/fields/System.Title", value = "My New Task" }, new { op = "add", path = "/fields/System.Description", value = "This is a description of the task." } }; string jsonContent = JsonConvert.SerializeObject(workItem); var content = new StringContent(jsonContent, Encoding.UTF8, "application/json-patch+json"); using (HttpResponseMessage response = await client.PatchAsync(requestUrl, content)) { response.EnsureSuccessStatusCode(); string responseBody = await response.Content.ReadAsStringAsync(); Console.WriteLine(responseBody); // Print the response (e.g., the created work item) } } } } ``` **Explanation:** * This is a console application. * It uses the `HttpClient` class to make a PATCH request to the Azure DevOps REST API (PATCH is used for creating or updating work items). * It uses a Personal Access Token (PAT) for authentication. * It defines the fields for the new work item (title and description). * It serializes the work item data into JSON. * It sends the JSON data in the request body. * It prints the response from the server (which will typically include the ID of the newly created work item). **Important Considerations:** * **Authentication:** Using Personal Access Tokens (PATs) is common for development and testing, but for production applications, you should use more secure authentication methods, such as Azure Active Directory (Azure AD) or Managed Identities. * **Error Handling:** The examples above lack robust error handling. You should always include `try-catch` blocks to handle exceptions and log errors. * **JSON Serialization/Deserialization:** Use a library like `Newtonsoft.Json` (Json.NET) or `System.Text.Json` to serialize and deserialize JSON data. Define C# classes that match the structure of the JSON data you're working with. * **NuGet Packages:** You'll need to install the `Newtonsoft.Json` NuGet package (or `System.Text.Json`) in your C# projects. * **API Versions:** The Azure DevOps REST API is versioned. Make sure you're using a supported API version (e.g., `api-version=7.0`). * **Rate Limiting:** Be aware of Azure DevOps rate limits. Implement retry logic to handle rate limiting errors. * **Security:** Never store sensitive information (like PATs) directly in your code. Use environment variables, Azure Key Vault, or other secure storage mechanisms. **How to Find More Specific Code Examples** To find more specific code examples, try these approaches: 1. **Microsoft Documentation:** The official Microsoft documentation for the Azure DevOps REST API is your best resource. It includes code samples in C# and other languages. Start here: [https://learn.microsoft.com/en-us/rest/api/azure/devops/](https://learn.microsoft.com/en-us/rest/api/azure/devops/) 2. **GitHub:** Search GitHub for repositories that contain Azure DevOps C# code. Use keywords like: * `azure devops rest api c#` * `azure devops extension c#` * `azure pipelines task c#` * `vsts api c#` (VSTS was the previous name for Azure DevOps) 3. **Stack Overflow:** Search Stack Overflow for questions and answers related to Azure DevOps C# development. 4. **Azure DevOps Samples:** Microsoft provides some official sample projects. Look for these on GitHub. 5. **Specific Use Cases:** Think about the specific tasks you want to automate or the integrations you want to build. Search for code examples that address those specific use cases. For example: * "C# Azure DevOps create work item" * "C# Azure DevOps get build status" * "C# Azure DevOps trigger pipeline" **Example Search on GitHub:** Go to GitHub and search for: `azure devops rest api c#` You'll find many repositories that contain C# code for interacting with the Azure DevOps REST API. Browse through the repositories to find code that matches your needs. Pay attention to the license of the code before using it in your own projects. **In summary:** The term "Azure DevOps MCP C# server and client code" is quite broad. Focus on the specific tasks you want to accomplish with Azure DevOps, and then search for code examples that address those tasks. The Microsoft documentation and GitHub are your best resources. Remember to prioritize security and error handling in your code.

DigitalOcean MCP Server

Provides access to all 471+ DigitalOcean API endpoints through an MCP server that dynamically extracts them from the OpenAPI specification, enabling search, filtering, and direct API calls with proper authentication.

MCP Fetch

Servidor de Protocolo de Contexto do Modelo que permite ao Claude Desktop (ou qualquer cliente MCP) buscar conteúdo da web e processar imagens adequadamente.

ServiceNow MCP Server

A server that integrates Claude AI with ServiceNow, enabling incident creation, service request management, email handling, and catalog browsing through natural language.

DALL-E MCP Server

An MCP (Model Context Protocol) server that allows generating, editing, and creating variations of images using OpenAI's DALL-E APIs.

MindBridge MCP Server

Um roteador de IA que conecta aplicações a múltiplos provedores de LLM (OpenAI, Anthropic, Google, DeepSeek, Ollama, etc.) com capacidades inteligentes de orquestração de modelos, permitindo a troca dinâmica entre modelos para diferentes tarefas de raciocínio.

Glama MCP Server Search

An MCP server for searching and exploring MCP servers from the Glama MCP directory. This server provides tools to search for MCP servers, get detailed information about specific servers, and explore available server attributes using the Glama MCP API.