Discover Awesome MCP Servers

LinkedIn - Full Tools MCP (via Reepl)

Manage your entire LinkedIn presence - write posts, schedule publishing, track contacts, and access saved content.

AnySite MCP Server

Enables comprehensive access to LinkedIn and Instagram data including user profiles, posts, comments, and account management features like messaging and connections. Also provides Google search and Reddit post search capabilities through the AnySite API.

FVWM3 Window Manager

Enables interaction with the FVWM3 window manager for configuration generation, window management, and debugging. Provides access to config files, runtime state, and control tools for managing desktops, monitors, and tiling operations.

Axiom MCP Server

Uma porta compatível com npx de @Axiom's mcp-server-axiom

MCP Odoo Server

Enables AI assistants to interact with Odoo databases via XML-RPC and JSON-RPC for performing CRUD operations and managing modules. It supports advanced features like domain-based searching, field metadata inspection, and administrative task execution.

MySQL-MCP

Um conector que dá ao Claude acesso direto a bancos de dados MySQL através do Protocolo de Contexto do Modelo, permitindo consultas em linguagem natural, exploração de esquemas e gerenciamento de banco de dados.

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.

test-server

just a test of glama

MCP Mix Server

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

GitHub Projects MCP Server

Provides an MCP server for scraping and retrieving data from GitHub Projects, including issues, pull requests, and organizational metadata. It enables natural language interaction with project boards and repository contents using GitHub Personal Access Tokens.

VOICEPEAK MCP Server

Enables text-to-speech synthesis using VOICEPEAK software with support for custom narrators, emotions, and pronunciation dictionaries. Allows generating and playing audio files from text with configurable voice parameters.

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.

Dynamics 365 MCP Server by CData

Dynamics 365 MCP Server by CData

Remote MCP Server on Cloudflare

Espelho de

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.

MCP MySQL Server

Enables Claude Desktop to interact with MySQL databases through secure query execution, schema discovery, and multi-database support with configurable read/write permissions and built-in SQL injection protection.

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.

Tiptap Collaboration MCP Server

Enables interaction with Tiptap collaborative document services through comprehensive document management, real-time statistics, markdown conversion, and batch operations. Supports creating, updating, searching, and managing collaborative documents with health monitoring and semantic search capabilities.

AutoGen MCP Server

Um servidor MCP que oferece integração com o framework AutoGen da Microsoft, permitindo conversas multiagente através de uma interface padronizada.

docdex

Docdex is a lightweight, local documentation indexer/search daemon. It runs per-project, keeps an on-disk index of your markdown/text docs, and serves top-k snippets over HTTP or CLI for any coding assistant or tool—no external services or uploads required.

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.

Scientific Computation MCP

Enables mathematical and scientific computations including linear algebra operations (matrices, eigenvalues, decompositions), vector calculus (gradients, curl, divergence), and visualization of vector fields and functions.

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.

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.

🚀 Electron Debug MCP Server

🚀 Um servidor MCP poderoso para depurar aplicações Electron com profunda integração ao Protocolo Chrome DevTools. Controle, monitore e depure aplicativos Electron através de uma API padronizada.

Vercel MCP Server

A Model Control Protocol server template deployed on Vercel that demonstrates MCP implementation with a dice rolling tool, serving as a foundation for building custom MCP servers.

ProtonMail Pro MCP

Enables comprehensive ProtonMail management through SMTP and IMAP, supporting email sending/reading, folder operations, analytics, and contact tracking with advanced search and automation capabilities.

Wikimedia-Search-Images

This MCP server enables AI assistants to search for images on Wikimedia Commons, providing detailed metadata and optional thumbnail combinations to assist AI models in visual comparisons.

Danbooru-Turso MCP Server

Collects and stores Danbooru character data in a Turso cloud database with automatic pagination and upsert functionality for managing anime character post information.