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OpenWeather MCP Server

Dự báo thời tiết MCP Server để dự báo thời tiết

File Edit Check MCP Server

MCP server that enforces pre-read checks and detailed commit documentation

Model-Context-Protocol Servers

All my MCP servers that i created

🧠 DeepSeek R1 Reasoning Executor

Một máy chủ MCP mạnh mẽ giúp tăng cường khả năng của Claude bằng cách tích hợp công cụ suy luận tiên tiến DeepSeek R1.

Shell MCP Server

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mcp-changtianML

Máy chủ MCP để truy cập changtianML.

gomcptest: Proof of Concept for MCP with Custom Host

Một bản chứng minh khái niệm (proof-of-concept) trình bày một host được xây dựng tùy chỉnh, triển khai một API tương thích với OpenAI bằng Google Vertex AI, gọi hàm (function calling) và tương tác với các máy chủ MCP.

feishu-tools-mcp

MCP server provides Feishu related operations to AI encoding agents such as cursor 飞书MCP插件

Binance MCP Server

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GenAIScript MCP Demo 🚀

Trình diễn các khả năng của MCP Server trong GenAIScript.

XACHE - Crypto Trader Website

Goose AI với máy chủ MCP

Confluence Communication Server MCP Server

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cursor_agents

Okay, I understand. You want to use the Microsoft Copilot Studio (formerly Power Virtual Agents) platform (MCP/MCS) to integrate a team of human experts into the agent flow. Here's a breakdown of how you can achieve this, along with considerations and best practices: **Core Concept: Escalation to Human Agent** The fundamental idea is to detect when the bot cannot adequately handle a user's request and then seamlessly transfer the conversation to a human agent. This is often called "escalation" or "handoff." **Steps to Integrate a Team of Experts into your Copilot Studio Flow:** 1. **Identify Escalation Triggers:** * **No Intent Match:** The bot can't understand the user's intent (e.g., no matching topic is found). This is a common trigger. * **Low Confidence Score:** The bot *thinks* it understands, but the confidence level is low. You can set a threshold (e.g., if the confidence score is below 70%, escalate). * **Negative Sentiment:** The user expresses frustration or anger. Sentiment analysis can be integrated to detect this. * **Specific Keywords/Phrases:** The user types something like "I need to talk to a person," "Speak to an agent," "Help me with a complex issue," etc. * **Looping/Repetition:** The user keeps asking the same question or getting the same answer, indicating the bot isn't resolving the issue. * **Complex Scenarios:** Certain topics or scenarios are inherently complex and require human intervention (e.g., legal advice, highly technical support). * **User Request:** The user explicitly asks to speak to a human. 2. **Configure Escalation Topics:** * **Create a Dedicated "Escalate" Topic:** This is the topic that will be triggered when an escalation condition is met. * **Add Trigger Phrases:** Add trigger phrases to this topic that align with your escalation triggers (e.g., "talk to agent," "human assistance"). Even if you're using other triggers (like no intent match), having these phrases ensures the user can *explicitly* request help. * **Escalation Message:** In the topic, display a message to the user indicating that they are being transferred to a human agent. Be clear about the process and expected wait time. Example: "Okay, I'm connecting you to a support agent now. Please wait while I find an available agent. This may take a few minutes." 3. **Choose a Handoff Method (Most Important):** This is where you connect your Copilot Studio bot to your team of experts. You have several options, each with its own pros and cons: * **Option 1: Live Agent Handoff via Microsoft Dynamics 365 Customer Service (Omnichannel for Customer Service):** * **How it works:** This is the *most integrated* and recommended approach if you're already using Dynamics 365 Customer Service. Copilot Studio can seamlessly transfer the conversation to a Dynamics 365 queue, where agents can pick it up. * **Steps:** * **Configure Omnichannel for Customer Service:** Set up your queues, routing rules, and agent profiles in Dynamics 365. * **Connect Copilot Studio to Omnichannel:** In Copilot Studio, use the "Transfer to Agent" node in your escalation topic. Select the appropriate Dynamics 365 queue. * **Context Variables:** Pass relevant context variables from the bot conversation to the agent (e.g., user's name, issue description, conversation history). This gives the agent valuable information upfront. * **Pros:** Seamless integration, rich agent experience, robust routing and queue management, detailed reporting. * **Cons:** Requires a Dynamics 365 Customer Service license. More complex setup. * **Option 2: Live Agent Handoff via Third-Party Live Chat Platforms (e.g., Zendesk, Salesforce Service Cloud, LivePerson):** * **How it works:** Many third-party live chat platforms have APIs that allow you to initiate a chat session from Copilot Studio. * **Steps:** * **Research API Documentation:** Carefully review the API documentation of your chosen live chat platform. * **Use Power Automate (Microsoft Flow):** Create a Power Automate flow that is triggered from your Copilot Studio escalation topic. This flow will use the live chat platform's API to: * Create a new chat session. * Pass the conversation history and context variables. * Redirect the user to the live chat interface (usually a URL). * **Add a "Call a Flow" Node:** In your Copilot Studio escalation topic, add a "Call a Flow" node to trigger the Power Automate flow. * **Pros:** Integrates with existing live chat platforms. * **Cons:** Requires more technical expertise (API integration, Power Automate). The integration may not be as seamless as with Dynamics 365. You'll need to manage the chat session and routing within the third-party platform. * **Option 3: Email Notification:** * **How it works:** The bot sends an email to a designated team of experts when escalation is needed. * **Steps:** * **Create a Power Automate Flow:** Create a Power Automate flow that is triggered from your Copilot Studio escalation topic. This flow will: * Compose an email with the user's information, issue description, and conversation history. * Send the email to the appropriate team email address. * **Add a "Call a Flow" Node:** In your Copilot Studio escalation topic, add a "Call a Flow" node to trigger the Power Automate flow. * **Pros:** Simple to implement. No additional licensing costs. * **Cons:** Not real-time. Slower response time. Requires manual assignment of the issue to an agent. Not ideal for urgent issues. * **Option 4: Microsoft Teams Notification:** * **How it works:** The bot sends a message to a designated Microsoft Teams channel when escalation is needed. * **Steps:** * **Create a Power Automate Flow:** Create a Power Automate flow that is triggered from your Copilot Studio escalation topic. This flow will: * Post a message to a specific Teams channel with the user's information, issue description, and conversation history. * **Add a "Call a Flow" Node:** In your Copilot Studio escalation topic, add a "Call a Flow" node to trigger the Power Automate flow. * **Pros:** Relatively simple to implement. Faster response time than email. * **Cons:** Requires manual assignment of the issue to an agent. Not ideal for urgent issues. Can be noisy if there are many escalations. 4. **Context Passing (Crucial):** * **Importance:** When you transfer the conversation, it's *essential* to pass as much context as possible to the human agent. This includes: * User's name * User's email address (if available) * Description of the issue * Conversation history (what the user has already tried with the bot) * Any relevant data collected by the bot (e.g., order number, account ID) * **How to do it:** * **Dynamics 365:** Use the "Transfer to Agent" node and map Copilot Studio variables to Dynamics 365 context variables. * **Power Automate:** Pass the variables as parameters to your Power Automate flow. The flow can then include this information in the API call to the live chat platform or in the email/Teams message. 5. **Agent Training:** * **Familiarize agents with the bot's capabilities:** Agents should understand what the bot can and cannot do. * **Train agents on how to handle escalated conversations:** They should be able to quickly understand the context of the conversation and provide effective assistance. * **Provide agents with access to the bot's analytics:** This will help them understand how the bot is performing and identify areas for improvement. 6. **Testing and Iteration:** * **Thoroughly test the escalation process:** Simulate different scenarios to ensure that the escalation triggers are working correctly and that the context is being passed to the agents. * **Monitor the performance of the escalation process:** Track metrics such as the number of escalations, the average time to resolution, and customer satisfaction. * **Continuously iterate on the bot and the escalation process:** Use the data you collect to identify areas for improvement and make changes accordingly. **Example Scenario (Using Dynamics 365):** 1. A user types "My order is late." 2. The bot tries to find the order information but fails (no intent match or low confidence). 3. The bot triggers the "Escalate" topic. 4. The "Escalate" topic displays a message: "I'm connecting you to a support agent now. Please wait." 5. The "Transfer to Agent" node in the topic transfers the conversation to the "Order Support" queue in Dynamics 365. 6. The bot passes the user's name, the phrase "My order is late," and the conversation history to Dynamics 365. 7. An agent in Dynamics 365 receives the conversation request with all the context information. **Key Considerations:** * **Licensing:** Be aware of the licensing requirements for Copilot Studio, Dynamics 365 Customer Service, and any third-party platforms you use. * **Security:** Ensure that you are handling user data securely and complying with all relevant privacy regulations. * **User Experience:** Make the escalation process as seamless as possible for the user. Provide clear communication and manage expectations. * **Agent Workload:** Monitor the workload of your human agents and adjust the bot's capabilities accordingly. The goal is to reduce the number of unnecessary escalations. * **Analytics:** Track key metrics to measure the effectiveness of your bot and the escalation process. **In summary, integrating a team of experts into your Copilot Studio flow requires careful planning and configuration. Choose the handoff method that best suits your needs and resources, and prioritize context passing to ensure a smooth and efficient experience for both the user and the agent.**

spring-mcp-server-sample

MCP Server Sample

Filesys 📁

Một máy chủ MCP hệ thống tệp cho phép LLM đọc và liệt kê các tệp từ một thư mục được chỉ định trên máy cục bộ của bạn thông qua Giao thức Ngữ cảnh Mô hình (Model Context Protocol).

WebDAV MCP Server

Một máy chủ Giao thức Ngữ cảnh Mô hình (Model Context Protocol - MCP) cho phép Claude Desktop và các ứng dụng khách MCP khác tương tác với các hệ thống tệp WebDAV thông qua các lệnh ngôn ngữ tự nhiên để thực hiện các thao tác CRUD (Tạo, Đọc, Cập nhật, Xóa).

MCP Server Filesystem Service

MCP Filesystem Solution

Upstash MCP Server

Mirror of

MCP Manager

A simple GUI for managing MCP servers, for easy toggle mcp servers.

octomind mcp server for tools, resources and prompts

Máy chủ MCP để tương tác với nền tảng Octomind. Octomind cung cấp các giải pháp tạo, chạy và sửa lỗi cho kiểm thử web end-to-end, xem https://octomind.dev

pocketbase-mcp-server MCP Server

Một máy chủ giao thức Model Context (Ngữ cảnh Mô hình) cho phép Claude AI tương tác với cơ sở dữ liệu PocketBase bằng cách liệt kê và truy cập các bộ sưu tập thông qua ngôn ngữ tự nhiên.