Discover Awesome MCP Servers

Tailscale MCP Server

Enables interaction with the Tailscale API to manage devices, ACLs, keys, and DNS configurations directly from MCP clients like Claude Desktop or Raycast.

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.

OmniDocs MCP

An intelligent MCP server that enables AI agents to crawl, index, and semantically search official framework documentation using local RAG. It prevents hallucinations by providing precise, up-to-date documentation excerpts directly into the AI's context window.

iai-mcp

A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.

Google Services MCP Server

Enables interaction with multiple Google services including Maps, Finance, Flights, Gmail, and Calendar through a unified interface. Provides comprehensive access to geocoding, stock data, flight information, email management, and calendar operations.

Azure DevOps MCP Server

Integrates Azure DevOps with GitHub Copilot Chat, enabling natural language queries of sprint work items, ticket summaries, and status tracking directly from VS Code without switching contexts.

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.

Aegis MCP Server

An enforcement layer that validates AI agent actions against governance policies, including path permissions and content scanning, at runtime. It enables secure, role-based execution of file operations and commands with zero token overhead by processing policies independently from the agent's context.

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.

GitHub MCP Server on Amazon Bedrock AgentCore

Provides a private, managed instance of the official GitHub MCP server hosted on Amazon Bedrock AgentCore with Okta authentication. It allows developers to securely interact with GitHub through MCP-compatible IDEs over a private AWS infrastructure.

fs-mcp

Hosted filesystem MCP server over HTTP with auth. Enables reading, writing, editing, searching, and listing files via MCP tools like grep, glob, and tree.

SiteBay MCP Server

Enables management of WordPress sites hosted on SiteBay platform through natural language, including site creation, executing WP-CLI commands, file editing, and server operations.

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.

Devops AI MCP

Devops AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

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.

MCP Server

Provides SMTP integration for sending HTML emails and specialized prompts for intent detection and client information extraction. It enables LLMs to automate personalized email workflows and structure user communication data.

globus-mcp

MCP server enabling LLMs to manage Globus data transfers and compute tasks.

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.

MiniMax Unified MCP

Unifies MiniMax's multimodal generation, web search, image understanding, audio, video, and music tools into a single MCP server for use with Claude and other clients.

qb-mcp

An MCP server that enables AI agents to interact with QuickBooks Online accounts to manage invoices, customers, payments, and financial reports. It provides 20 tools to automate accounting workflows and retrieve financial data through natural language interfaces.

neko-mcp

Enables AI agents to control a neko virtual browser via WebSocket and REST APIs, while allowing live viewing through a WebRTC stream.

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.

MySQL MCP Server

An MCP server that allows working with MySQL databases by providing tools for executing read-only SQL queries, getting table schemas, and listing database tables.

mcp-uspto

An MCP server for searching and retrieving USPTO data, including patents, trademarks, assignments, and PTAB decisions. It allows users to research IP landscapes, track prosecution histories, and analyze inventor or assignee portfolios through integrated tools.

Remote MCP Server on Cloudflare

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Node Terminal MCP

Enables AI agents to interact with terminal environments through multiple concurrent PTY sessions. Supports cross-platform terminal operations including command execution, session management, and real-time communication.

MCP ComfyUI Flux

Enables AI image generation using FLUX models through ComfyUI with GPU acceleration, supporting image generation, 4x upscaling, and background removal with optimized Docker deployment.

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