Discover Awesome MCP Servers

Paper Search MCP Server

Enables searching, downloading, and reading academic papers from multiple platforms including arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, IACR, Google Scholar, RePEc/IDEAS, and Sci-Hub with PDF to Markdown conversion.

Twilio SMS MCP Server

Enables AI agents to send, receive, schedule, and manage SMS and MMS messages using the Twilio Programmable Messaging API. It provides comprehensive tools for handling bulk messaging, conversation threads, and real-time inbox monitoring through a secure, production-grade architecture.

DadMCP

用于提供更优质家庭教育的远程MCP服务器

Open Data MCP

Enables exploration and interaction with South Korea's Public Data Portal (OpenAPI) through keyword search, standard documentation retrieval, and direct API endpoint calls with automatic service key injection.

mcp-server-demo

✨ MCP 服务器演示

TanStack MCP Server

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mcp-server-chart

Whoop MCP Server

Integrates WHOOP biometric data into Claude and other MCP-compatible applications, providing access to sleep analysis, recovery metrics, strain tracking, and biological age data through natural language queries.

SharePoint MCP: The .NET MCP Server with Graph API & Semantic Kernel

Okay, I understand. You want to create an **MCP (Message Center Provider) server** to access **SharePoint Online**. However, there's a potential misunderstanding here. "MCP server" isn't a standard term in the context of SharePoint Online development. It sounds like you're aiming to build a custom application or service that interacts with SharePoint Online data, possibly to receive and process notifications or updates. Therefore, I'll provide you with a general outline and explanation of how to build a service that can access SharePoint Online data, including how to handle notifications and changes. This will involve using the Microsoft Graph API and/or the SharePoint REST API. Here's a breakdown of the steps and considerations, along with the Chinese translation of key terms: **1. Understanding the Goal (理解目标)** * **English:** You want to create a service that can access and potentially react to changes in SharePoint Online. This might involve: * Retrieving data (lists, libraries, documents, etc.) * Monitoring for changes (new files, updated items, etc.) * Performing actions based on those changes (e.g., sending notifications, triggering workflows). * **Chinese:** 你想创建一个服务，可以访问并可能对 SharePoint Online 中的更改做出反应。 这可能涉及： * 检索数据（列表、库、文档等） * 监视更改（新文件、更新的项目等） * 根据这些更改执行操作（例如，发送通知、触发工作流）。 **2. Choosing an API (选择 API)** * **Microsoft Graph API (Microsoft Graph API):** This is the recommended approach for most new development. It provides a unified endpoint to access data across Microsoft 365, including SharePoint Online. It's generally easier to use and more feature-rich than the SharePoint REST API. * **SharePoint REST API (SharePoint REST API):** This is a more direct way to interact with SharePoint Online. It's useful if you need very specific control over SharePoint features. **3. Authentication and Authorization (身份验证和授权)** * **English:** Your service needs to authenticate with Azure Active Directory (Azure AD) to access SharePoint Online. You'll need to register an application in Azure AD and grant it the necessary permissions. There are two main authentication flows: * **Delegated Permissions (委派权限):** The application acts on behalf of a user. The user needs to grant consent to the application. * **Application Permissions (应用程序权限):** The application acts on its own behalf, without a user. This requires administrator consent. This is generally preferred for background services. * **Chinese:** 您的服务需要使用 Azure Active Directory (Azure AD) 进行身份验证才能访问 SharePoint Online。 您需要在 Azure AD 中注册一个应用程序，并授予它必要的权限。 有两种主要的身份验证流程： * **委派权限:** 应用程序代表用户行事。 用户需要授予应用程序同意。 * **应用程序权限:** 应用程序代表自己行事，无需用户。 这需要管理员同意。 这通常是后台服务的首选。 **4. Development Steps (开发步骤)** Here's a general outline of the development process, using the Microsoft Graph API as an example: * **Step 1: Register an Application in Azure AD (在 Azure AD 中注册应用程序)** * Go to the Azure portal (portal.azure.com). * Navigate to "Azure Active Directory" -> "App registrations". * Click "New registration". * Give your application a name (e.g., "SharePointDataService"). * Choose the appropriate account type (usually "Single tenant"). * Set the redirect URI (if needed; for a background service, this might not be necessary). * Click "Register". * Note the "Application (client) ID" and "Directory (tenant) ID". You'll need these later. * **Step 2: Grant API Permissions (授予 API 权限)** * In your Azure AD app registration, go to "API permissions". * Click "Add a permission". * Select "Microsoft Graph". * Choose "Application permissions" (for a background service). * Search for and select the necessary permissions. Common permissions include: * `Sites.Read.All` (Read SharePoint sites) * `Sites.ReadWrite.All` (Read and write SharePoint sites) * `Sites.Manage.All` (Full control of SharePoint sites) * `Files.Read.All` (Read all files) * `Files.ReadWrite.All` (Read and write all files) * Click "Add permissions". * **Important:** After adding application permissions, you need to grant admin consent. Click "Grant admin consent for [Your Tenant Name]". * **Step 3: Obtain an Access Token (获取访问令牌)** * You'll need to use a library like MSAL (Microsoft Authentication Library) to obtain an access token. The code will vary depending on your programming language. Here's a Python example using `msal`: ```python import msal # Replace with your actual values CLIENT_ID = "YOUR_CLIENT_ID" CLIENT_SECRET = "YOUR_CLIENT_SECRET" TENANT_ID = "YOUR_TENANT_ID" AUTHORITY = f"https://login.microsoftonline.com/{TENANT_ID}" SCOPES = ["https://graph.microsoft.com/.default"] # Use .default for application permissions app = msal.ConfidentialClientApplication( CLIENT_ID, authority=AUTHORITY, client_credential=CLIENT_SECRET ) result = app.acquire_token_for_client(scopes=SCOPES) if "access_token" in result: access_token = result["access_token"] print("Access Token:", access_token) else: print(result.get("error_description", "No error information available")) ``` * **Chinese:** ```python import msal # 替换为您的实际值 CLIENT_ID = "YOUR_CLIENT_ID" CLIENT_SECRET = "YOUR_CLIENT_SECRET" TENANT_ID = "YOUR_TENANT_ID" AUTHORITY = f"https://login.microsoftonline.com/{TENANT_ID}" SCOPES = ["https://graph.microsoft.com/.default"] # 使用 .default 作为应用程序权限 app = msal.ConfidentialClientApplication( CLIENT_ID, authority=AUTHORITY, client_credential=CLIENT_SECRET ) result = app.acquire_token_for_client(scopes=SCOPES) if "access_token" in result: access_token = result["access_token"] print("访问令牌:", access_token) else: print(result.get("error_description", "没有可用的错误信息")) ``` * **Step 4: Call the Microsoft Graph API (调用 Microsoft Graph API)** * Use the access token to make requests to the Microsoft Graph API. For example, to get a list of SharePoint sites: ```python import requests GRAPH_API_ENDPOINT = "https://graph.microsoft.com/v1.0/sites" headers = { "Authorization": f"Bearer {access_token}" } response = requests.get(GRAPH_API_ENDPOINT, headers=headers) if response.status_code == 200: sites = response.json() print("SharePoint Sites:", sites) else: print("Error:", response.status_code, response.text) ``` * **Chinese:** ```python import requests GRAPH_API_ENDPOINT = "https://graph.microsoft.com/v1.0/sites" headers = { "Authorization": f"Bearer {access_token}" } response = requests.get(GRAPH_API_ENDPOINT, headers=headers) if response.status_code == 200: sites = response.json() print("SharePoint 站点:", sites) else: print("错误:", response.status_code, response.text) ``` * **Step 5: Handle Changes and Notifications (处理更改和通知)** * **Microsoft Graph Change Notifications (Microsoft Graph 更改通知):** This is the recommended way to receive notifications about changes in SharePoint Online. You can subscribe to changes on specific resources (e.g., a list, a library, a file). When a change occurs, Microsoft Graph will send a notification to your service. You'll need to set up a webhook endpoint to receive these notifications. * **SharePoint Webhooks (SharePoint Webhooks):** An older method, but still supported. Similar to Microsoft Graph Change Notifications, but specific to SharePoint. * **Polling (轮询):** The least efficient method. Your service periodically checks for changes. Avoid this if possible. **5. Key Considerations (关键考虑因素)** * **Error Handling (错误处理):** Implement robust error handling to deal with API errors, authentication failures, and other issues. * **Rate Limiting (速率限制):** Be aware of Microsoft Graph API and SharePoint REST API rate limits. Implement retry logic and caching to avoid exceeding these limits. * **Security (安全):** Protect your client ID and client secret. Store them securely (e.g., using Azure Key Vault). * **Scalability (可扩展性):** Design your service to be scalable to handle a large number of requests and notifications. * **Permissions (权限):** Only request the minimum permissions required for your service to function. * **Monitoring (监控):** Implement monitoring to track the health and performance of your service. **Example: Setting up a Microsoft Graph Change Notification (示例：设置 Microsoft Graph 更改通知)** This is a simplified example. You'll need to adapt it to your specific requirements. 1. **Create a Webhook Endpoint (创建 Webhook 端点):** This is an HTTP endpoint that will receive notifications from Microsoft Graph. You'll need to make this endpoint publicly accessible (e.g., using Azure Functions, Azure App Service, or a similar service). 2. **Create a Subscription (创建订阅):** Use the Microsoft Graph API to create a subscription to the resource you want to monitor. For example, to subscribe to changes in a SharePoint list: ```python import requests import json GRAPH_API_ENDPOINT = "https://graph.microsoft.com/v1.0/subscriptions" WEBHOOK_URL = "YOUR_WEBHOOK_URL" # Replace with your webhook URL RESOURCE = "sites/{site-id}/lists/{list-id}/items" # Replace with your site and list IDs subscription_data = { "changeType": "created,updated,deleted", "notificationUrl": WEBHOOK_URL, "resource": RESOURCE, "expirationDateTime": "2024-12-31T23:59:00.0000000Z", # Adjust expiration date "clientState": "secretClientValue" # Optional, for validation } headers = { "Authorization": f"Bearer {access_token}", "Content-Type": "application/json" } response = requests.post(GRAPH_API_ENDPOINT, headers=headers, data=json.dumps(subscription_data)) if response.status_code == 201: subscription = response.json() print("Subscription created:", subscription) else: print("Error creating subscription:", response.status_code, response.text) ``` * **Chinese:** ```python import requests import json GRAPH_API_ENDPOINT = "https://graph.microsoft.com/v1.0/subscriptions" WEBHOOK_URL = "YOUR_WEBHOOK_URL" # 替换为您的 webhook URL RESOURCE = "sites/{site-id}/lists/{list-id}/items" # 替换为您的站点和列表 ID subscription_data = { "changeType": "created,updated,deleted", "notificationUrl": WEBHOOK_URL, "resource": RESOURCE, "expirationDateTime": "2024-12-31T23:59:00.0000000Z", # 调整过期日期 "clientState": "secretClientValue" # 可选，用于验证 } headers = { "Authorization": f"Bearer {access_token}", "Content-Type": "application/json" } response = requests.post(GRAPH_API_ENDPOINT, headers=headers, data=json.dumps(subscription_data)) if response.status_code == 201: subscription = response.json() print("订阅已创建:", subscription) else: print("创建订阅时出错:", response.status_code, response.text) ``` 3. **Handle the Notification (处理通知):** When a change occurs, Microsoft Graph will send a POST request to your webhook endpoint. Your endpoint needs to: * **Validate the request:** Verify the `clientState` (if you used it). * **Process the notification:** Extract the information about the change and take appropriate action. **Important Notes:** * This is a high-level overview. You'll need to consult the Microsoft Graph API documentation and SharePoint REST API documentation for detailed information. * The code examples are in Python, but you can use any programming language that supports HTTP requests. * Remember to replace the placeholder values (e.g., `YOUR_CLIENT_ID`, `YOUR_CLIENT_SECRET`, `YOUR_TENANT_ID`, `YOUR_WEBHOOK_URL`, `site-id`, `list-id`) with your actual values. * Consider using a framework like Flask or Django (for Python) to build your webhook endpoint. This comprehensive guide should help you get started with building a service to access SharePoint Online data and handle notifications. Remember to adapt the code and steps to your specific requirements. Good luck!

SuperCollider MCP Server

Enables execution of SuperCollider synth code through the Model Context Protocol using supercolliderjs, allowing AI assistants to generate and run audio synthesis programs.

MCP WPPConnect Server

Enables WhatsApp automation through MCP protocol, allowing users to manage sessions, send messages, handle groups/communities, and access contacts through natural language interactions with AI agents.

MCP4All

Enables automatic documentation of GitHub projects as blog posts by fetching repository README files through the GitHub API. Provides a simple HTTP server that downloads and saves GitHub project documentation to local markdown files for blog content generation.

OpenFDA

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

ETH Security MCP

用于安全分析师、审计员和事件响应的 ETH MCP 服务器。

Garmin Connect MCP Server

Connects Claude Desktop to Garmin Connect, enabling natural language queries of fitness activity data, health metrics, sleep analysis, workout management, and device information with 94 available tools.

Gmail MCP Server

A Model Context Protocol server that enables Claude AI to interact with Gmail, supporting email sending, reading, searching, labeling, draft management, and batch operations through natural language commands.

NIST CSF 2.0 Assessment Platform

Enables comprehensive NIST Cybersecurity Framework 2.0 assessments with 40+ MCP tools for maturity scoring, gap analysis, implementation planning, risk assessment, and executive reporting across 740 security questions.

MCP-RAG Server

Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).

Hetzner MCP

Enables users to manage Hetzner Cloud resources including servers, load balancers, and volumes through natural language commands. It facilitates infrastructure operations such as resource creation, security configuration, and real-time pricing queries within AI-powered environments.

🔐 SSE MCP Server with JWT Authentication

镜子 (jìng zi)

Zoho CRM Integration

Connects Claude to Zoho CRM with read-only access, enabling natural language queries to search records, list modules, retrieve field information, and count records using OAuth authentication.

Model Context Protocol (MCP)

🚀 OpenClient - 基于 CLI 的通用 AI 应用连接器！一个开源的模型上下文协议 (MCP) 实现，通过上下文供应标准化来增强 LLM 的能力。使用我们的客户端快速连接您选择的服务器，以提升您的 AI 能力。非常适合创建下一代 AI 应用程序的开发者！

geocontext

An experimental MCP server providing spatial context for LLMs by interfacing with French Geoplateforme services. It enables tasks such as geocoding, altitude lookups, and querying administrative, cadastral, or urban planning data.

Desk3 MCP Server

Cryptocurrency MCP Server! Free! This powerful tool is designed for blockchain enthusiasts, providing comprehensive, real-time cryptocurrency information at your fingertips. Whether you're an experienced trader or just starting your journey into the crypto world.

InfluxDB OSS API MCP Server

An MCP server that enables interactions with InfluxDB's open-source time-series database API, allowing data querying, management, and operations through natural language.

Bruno MCP Server

A Model Context Protocol (MCP) server that enables programmatic creation and management of Bruno API testing collections, environments, and requests through standardized MCP tools.

Undoom Uninstaller MCP

Enables Windows program management through MCP, including listing installed programs, uninstalling software, force removal, and cleaning residual files. Supports generating detailed Markdown reports of system programs with smart categorization and statistics.

OpenAI Server

一个模型上下文协议（MCP）服务器，让你可以直接从 Claude 无缝使用 OpenAI 的模型。

Pandoc Document Conversion

Enables document format conversion between various formats (Markdown, HTML, PDF, DOCX, LaTeX, EPUB, and more) using Pandoc, preserving formatting and structure while supporting both direct content transformation and file-based conversions.

HashBuilds Secure Prompts

Enables AI assistants to register prompts for security verification, checking for hidden injections, data exfiltration patterns, and jailbreak attempts, then generate embed codes for displaying security badges on websites.