Discover Awesome MCP Servers

Resemble AI Voice Generation MCP Server

Terintegrasi dengan Claude dan Cursor menggunakan Model Context Protocol untuk menghasilkan audio suara dari teks menggunakan suara Resemble AI.

MCP Hub

An Express server implementation of Model Context Protocol that allows websites to connect to LLMs through streamable HTTP and stdio transports, with a built-in chat UI for testing responses.

webdev-mcp

An MCP server that provides web development tools including taking screenshots of screens, enabling AI agents to capture and analyze visual content during development.

MCP-Soccerdata

Sebuah server MCP sumber terbuka yang terhubung ke SoccerDataAPI untuk memberikan informasi pertandingan sepak bola terkini melalui interaksi bahasa alami.

MySQL MCP Server Pro

Provides comprehensive MySQL database operations including CRUD, performance optimization, health analysis, and anomaly detection. Supports multiple connection modes, OAuth2.0 authentication, and role-based permissions for database management through natural language.

Playwright MCP Server

A minimal server that exposes Playwright browser automation capabilities through a simple API, enabling webpage interaction, DOM manipulation, and content extraction via the Model Context Protocol.

MCP Home Assistant

Enables natural language control of Home Assistant smart home devices through Cursor AI, supporting entity queries, automation management, configuration file editing, and system operations.

MCP Server Fichador

A Model Context Protocol server that searches educational articles from todamateria.com.br and automatically creates structured reading cards with summaries, key points, and citations.

Uni-res_MCP

An MCP server for my University Results

Multilead Open API MCP Server

Enables AI assistants to interact with the Multilead platform for lead management, email campaigns, conversations, webhooks, and analytics through 74 API endpoints.

Ziwei Astrology MCP Server

Enables generation of detailed Chinese Ziwei Doushu (Purple Star) astrological charts with geographic location support and true solar time conversion. Provides tools for geocoding locations, converting Beijing time to apparent solar time, and creating comprehensive astrology readings based on birth information.

Spring AI MCP Server Example

Proyek contoh Spring AI MCP Server yang dibuat untuk bersenang-senang dan bereksperimen. 🚀 Proyek ini mengimplementasikan operasi CRUD dasar menggunakan penyimpanan data dalam memori dengan data Person dummy. 🤖

AI MCP ServiceNow

A Model Context Protocol server that integrates with ServiceNow instances, allowing users to utilize AI tools within ServiceNow without writing code.

mcp-flyin

A server that handles messaging or commands over a custom protocol

Azure Model Context Protocol (MCP) Hub

Okay, here are some links to samples, tools, and resources that can help you build and integrate Model Context Protocol (MCP) servers on Azure using multiple languages. Keep in mind that MCP is a relatively new protocol, so direct, comprehensive resources might be limited. I'll focus on providing a combination of MCP-specific information and general Azure development resources that can be adapted. **Understanding Model Context Protocol (MCP)** * **MCP Specification (Microsoft Research):** This is the primary source for understanding the protocol itself. You'll need to understand the specification to implement a server. Look for the latest version on the Microsoft Research website or GitHub. Unfortunately, a direct link is difficult to provide as it may change. Search for "Model Context Protocol Specification" on your preferred search engine. * **MCP Blog Posts and Articles:** Search for blog posts and articles related to MCP. These can provide insights into use cases and implementation strategies. **General Azure Development Resources (Adaptable for MCP)** These resources are crucial because you'll likely be building your MCP server as an Azure service (e.g., Azure Function, Azure App Service, Azure Container Instance). * **Azure Documentation:** The official Azure documentation is your go-to resource. It covers everything from setting up your Azure account to deploying and managing your applications. Start here: [https://azure.microsoft.com/en-us/documentation/](https://azure.microsoft.com/en-us/documentation/) * **Azure SDKs:** Azure provides SDKs for various languages, making it easier to interact with Azure services. Here are links to the main SDKs: * **.NET (C#):** [https://github.com/Azure/azure-sdk-for-net](https://github.com/Azure/azure-sdk-for-net) * **Python:** [https://github.com/Azure/azure-sdk-for-python](https://github.com/Azure/azure-sdk-for-python) * **Java:** [https://github.com/Azure/azure-sdk-for-java](https://github.com/Azure/azure-sdk-for-java) * **Node.js (JavaScript/TypeScript):** [https://github.com/Azure/azure-sdk-for-js](https://github.com/Azure/azure-sdk-for-js) * **Go:** [https://github.com/Azure/azure-sdk-for-go](https://github.com/Azure/azure-sdk-for-go) * **Azure Samples:** Microsoft provides a vast library of code samples for Azure. Search for samples related to the specific Azure service you're using (e.g., "Azure Functions Python sample," "Azure App Service Java sample"). The Azure Samples GitHub repository is a good starting point: [https://github.com/Azure-Samples](https://github.com/Azure-Samples) * **Azure Functions:** A serverless compute service that allows you to run code without managing servers. It's a good option for building MCP servers. * **Azure Functions Documentation:** [https://docs.microsoft.com/en-us/azure/azure-functions/](https://docs.microsoft.com/en-us/azure/azure-functions/) * **Azure Functions Samples:** Search on GitHub for "Azure Functions samples" in your preferred language. * **Azure App Service:** A platform for building and deploying web applications. Another viable option for hosting your MCP server. * **Azure App Service Documentation:** [https://docs.microsoft.com/en-us/azure/app-service/](https://docs.microsoft.com/en-us/azure/app-service/) * **Azure App Service Samples:** Search on GitHub for "Azure App Service samples" in your preferred language. * **Azure Container Instances (ACI) / Azure Kubernetes Service (AKS):** If you're containerizing your MCP server, ACI or AKS are options. * **ACI Documentation:** [https://docs.microsoft.com/en-us/azure/container-instances/](https://docs.microsoft.com/en-us/azure/container-instances/) * **AKS Documentation:** [https://docs.microsoft.com/en-us/azure/aks/](https://docs.microsoft.com/en-us/azure/aks/) **Tools** * **Visual Studio Code (VS Code):** A popular code editor with excellent support for Azure development. It has extensions for various languages and Azure services. * **Azure CLI:** A command-line tool for managing Azure resources. * **Azure Portal:** The web-based interface for managing Azure resources. **Building an MCP Server on Azure (General Steps)** 1. **Choose a Language:** Select the programming language you're most comfortable with (e.g., Python, C#, Java, Node.js). 2. **Choose an Azure Service:** Decide whether to use Azure Functions, Azure App Service, ACI, or AKS to host your MCP server. Azure Functions is often a good starting point for simple implementations. 3. **Implement the MCP Protocol:** This is the core part. You'll need to: * **Parse MCP Requests:** Implement code to receive and parse incoming MCP requests according to the MCP specification. * **Process the Context:** Implement the logic to process the context information provided in the MCP request. This is where your model integration happens. * **Return MCP Responses:** Format and send back MCP responses according to the specification. 4. **Integrate with Azure Services:** Use the Azure SDK for your chosen language to interact with other Azure services if needed (e.g., Azure Storage, Azure Cognitive Services). 5. **Deploy to Azure:** Deploy your MCP server to your chosen Azure service. 6. **Test and Monitor:** Thoroughly test your MCP server and set up monitoring to ensure it's working correctly. **Example (Conceptual - Python with Azure Functions)** ```python # Example Azure Function (Python) - Very simplified import logging import azure.functions as func import json def main(req: func.HttpRequest) -> func.HttpResponse: logging.info('Python HTTP trigger function processed a request.') try: req_body = req.get_json() except ValueError: return func.HttpResponse( "Please pass a JSON payload in the request body", status_code=400 ) # **MCP Protocol Implementation (Simplified)** # In a real implementation, you would: # 1. Validate the request against the MCP specification. # 2. Extract the context information from the request. # 3. Process the context (e.g., use it to influence a model). # 4. Construct an MCP response. # For this example, we'll just echo back the request. response_data = { "status": "success", "received_context": req_body } return func.HttpResponse( json.dumps(response_data), mimetype="application/json", status_code=200 ) if __name__ == "__main__": # This is just for local testing. It won't run in Azure Functions. # You'd need to create a sample request and pass it to the main function. pass ``` **Important Considerations:** * **Security:** Implement proper authentication and authorization to protect your MCP server. Azure Active Directory (Azure AD) is a common choice. * **Scalability:** Design your MCP server to scale to handle the expected load. Azure Functions and App Service offer automatic scaling. * **Error Handling:** Implement robust error handling to gracefully handle unexpected situations. * **Logging and Monitoring:** Use Azure Monitor to log events and monitor the performance of your MCP server. **Key Takeaways:** * Start with the MCP specification to understand the protocol. * Use the Azure SDK for your chosen language to interact with Azure services. * Leverage Azure Functions or App Service for easy deployment and scaling. * Focus on security, error handling, and monitoring. Because MCP is relatively new, you might need to adapt existing Azure development patterns to fit the protocol's requirements. Good luck!

macOS MCP Servers

Enables Claude Desktop and GitHub Copilot to interact with native macOS applications including Spotify, Apple Music, Notes, Calendar, FaceTime, and Contacts through natural language commands. Provides comprehensive control over music playback, note management, calendar events, video calls, and contact operations using AppleScript integration.

ClinicalTrials.gov MCP Server

Empowers AI agents with direct access to the official ClinicalTrials.gov database, enabling programmatic searching, retrieval, and analysis of clinical study data through a Model Context Protocol interface.

Mattermost S MCP

Enables sending messages to Mattermost channels through webhooks via MCP protocol. Supports multiple webhook channels with simple YAML configuration and integrates seamlessly with Claude Desktop.

Chicken Business Management MCP Server

Enables real-time voice-to-text order processing and chicken business management through WebSocket connections and REST APIs. Supports inventory tracking, sales parsing, stock forecasting, and note collection with AI-powered transcript correction and structured data extraction.

MCP-Audio Plugin

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

Formath MCP

Enables extraction of mathematical content from TeX papers and conversion to Lean code through a structured intermediate representation. Supports project scaffolding, entity management, and task tracking for mathematical formalization workflows.

Jellyseerr MCP Server

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

Polyagent MCP

Enables any MCP-compatible client to use existing Claude Code agents from .claude/agents/ directories. Spawns agents in separate CLI sessions for better context optimization and performance across Codex, Gemini CLI, and other AI coding assistants.

AIOps MCP Servers

Server MCP untuk AIOps.

mcp-server-exa-search

Ekstensi Zed untuk server MCP Exa

chinchillo-mcp-server

チンチロができるMCPサーバーです。

Everything Search MCP Server

Menyediakan kemampuan pencarian file yang cepat di seluruh sistem operasi Windows, macOS, dan Linux menggunakan teknologi pencarian khusus platform.