Discover Awesome MCP Servers

Placid.app MCP Server

镜子 (jìng zi)

mcp-server-skyfire

镜子 (jìng zi)

V0.dev Response Capture Tool

MCP 服务器，用于将您的 MCP 主机直接连接到 V0.dev

Obsidian Index Service

一个服务，用于监控 Obsidian Vault 中的文件变更（新建、修改或删除的 Markdown 文件），并将每个笔记的元数据和内容索引到一个 SQLite 数据库中，以便例如 MCP 服务器使用。 Or, a slightly more formal translation: 一个服务，用于监控 Obsidian Vault 的文件变更（包括新建、修改或删除的 Markdown 文件），并将每个笔记的元数据和内容索引至 SQLite 数据库，从而为 MCP 服务器等提供数据支持。

universal-project-summarizer-mcp

这个通用文件查看器 MCP 服务器可以为 MCP 客户端提供对您文件系统上任何文件夹的读取权限。当您希望使多个存储库或其他文件可供 AI 代理访问时，这将很有帮助。

MCP Inspector VSCode Extension

VS Code 的 MCP 服务器扩展可视化测试工具

Jira MCP Server

镜子 (jìng zi)

ToDo App

为了学习目的搭建了一个 MCP 服务器。

dify-server MCP 服务器

镜子 (jìng zi)

microCMS MCP Server

镜子 (jìng zi)

项目介绍

MCP服务器 (MCP fúwùqì)

MCP Grpcurl

使用 grpcurl 工具与 gRPC 服务交互的 Model Context Protocol (MCP) 服务器

IaC Memory MCP Server

镜子 (jìng zi)

MCP Memory with Redis Graph

MCP 服务器用于长期记忆图

MCP Server Patent Integration

带有专利 API 集成的 MCP 服务器配置

mcp-changtianML

MCP 服务器访问 ChangtianML

gomcptest: Proof of Concept for MCP with Custom Host

一个概念验证，展示了一个自定义构建的宿主，该宿主实现了与 OpenAI 兼容的 API，并集成了 Google Vertex AI、函数调用以及与 MCP 服务器的交互。

feishu-tools-mcp

MCP 服务器为 AI 编码代理提供飞书相关操作，例如 cursor 飞书 MCP 插件。

GenAIScript MCP Demo 🚀

GenAIScript 的 MCP 服务器功能演示

Binance MCP Server

镜子 (jìng zi)

XACHE - Crypto Trader Website

鹅雁 AI 与 MCP 服务器

Confluence Communication Server MCP Server

镜子 (jìng zi)

spring-mcp-server-sample

MCP服务器示例 (MCP fúwùqì shìlì)

MCP Host Project

Okay, here's a translation of the English text "Showcases how to integrate Spring AI's support for MCP (Model Context Protocol) within Spring Boot applications, covering both server-side and client-side implementations." **Chinese Translation:** **展示如何在 Spring Boot 应用中集成 Spring AI 对 MCP (模型上下文协议) 的支持，涵盖服务端和客户端的实现。** Here's a breakdown of the translation: * **展示 (zhǎn shì):** Showcases, Demonstrates, Illustrates * **如何 (rú hé):** How to * **在 (zài):** In, Within * **Spring Boot 应用 (Spring Boot yìng yòng):** Spring Boot Applications * **中 (zhōng):** In, Within * **集成 (jí chéng):** Integrate, Integration * **Spring AI 对 (Spring AI duì):** Spring AI's support for, Spring AI's handling of * **MCP (模型上下文协议) (MCP (mó xíng shàng xià wén xié yì)):** MCP (Model Context Protocol) - The Chinese translation includes the English abbreviation and the full Chinese translation of "Model Context Protocol." * **的支持 (de zhī chí):** Support * **涵盖 (hán gài):** Covering, Encompassing * **服务端 (fú wù duān):** Server-side * **和 (hé):** And * **客户端 (kè hù duān):** Client-side * **的 (de):** 's (possessive particle) * **实现 (shí xiàn):** Implementation This translation is accurate and natural-sounding in Chinese. It clearly conveys the meaning of the original English sentence.

MCP_claude

这是为了演示如何为 Claude Desktop MCP 客户端构建一个 MCP 服务器。

cursor_agents

Okay, here are a few ways you could use an MCP (presumably referring to a Media Control Platform or similar system) server to add a team of experts into an agent flow, along with explanations and considerations: **Understanding the Goal** First, let's clarify what "adding a team of experts into the agent flow" means. This likely involves: * **Routing:** Directing specific types of customer interactions (calls, chats, emails) to the appropriate expert(s). * **Escalation:** Transferring an interaction from a general agent to an expert when the agent needs assistance. * **Collaboration:** Allowing agents to consult with experts in real-time (e.g., via chat, conference call) without transferring the customer. * **Knowledge Sharing:** Providing agents with access to expert knowledge bases or documentation. **Methods Using an MCP Server** Here are some common approaches, assuming your MCP server has capabilities like routing, presence management, and integration with other systems: **1. Skill-Based Routing (Most Common)** * **Concept:** Configure the MCP server to route interactions based on the skills required to handle them. The "experts" are defined as having specific skills. * **Implementation:** * **Skill Definition:** Define skills in the MCP server (e.g., "Product A Expert," "Technical Support - Level 2," "Spanish Language"). * **Expert Skill Assignment:** Assign the appropriate skills to each expert agent in the MCP system. * **Routing Rules:** Create routing rules that direct interactions with specific requirements (e.g., "Product A" inquiries) to agents with the "Product A Expert" skill. This often involves analyzing the customer's input (e.g., IVR selections, chat keywords, email subject) to determine the required skills. * **Queue Management:** The MCP server manages queues for each skill. If no experts are immediately available, the interaction is placed in the appropriate queue. * **Advantages:** Efficiently routes interactions to the right experts. Scalable as the team of experts grows. * **Considerations:** Requires accurate skill definition and assignment. Needs a mechanism to determine the required skills for each interaction (e.g., IVR, AI-powered intent analysis). **2. Presence-Based Routing** * **Concept:** Route interactions to experts based on their availability (presence status). * **Implementation:** * **Presence Integration:** The MCP server integrates with the expert's communication tools (e.g., softphone, chat client) to track their presence (available, busy, away, etc.). * **Routing Rules:** Create routing rules that only send interactions to experts who are currently available. * **Overflow Handling:** Define what happens if no experts are available (e.g., send to a general queue, offer a callback). * **Advantages:** Avoids sending interactions to unavailable experts. Improves customer experience. * **Considerations:** Requires reliable presence information. Needs a strategy for handling overflow situations. **3. Escalation/Transfer Functionality** * **Concept:** Allow general agents to transfer interactions to experts when they need assistance. * **Implementation:** * **Transfer Options:** Provide agents with a way to easily transfer interactions to specific experts or to a queue of experts. This might be a button in their agent desktop application. * **Warm Transfer vs. Cold Transfer:** Decide whether the agent should introduce the customer to the expert (warm transfer) or simply transfer the interaction without introduction (cold transfer). * **Context Transfer:** Ensure that relevant information about the interaction (e.g., customer history, previous interactions) is transferred along with the interaction. * **Advantages:** Allows agents to handle a wider range of issues. Provides access to expert knowledge when needed. * **Considerations:** Requires a user-friendly transfer interface. Needs a mechanism to ensure that context is transferred. **4. Collaboration Tools (Consultation)** * **Concept:** Enable agents to consult with experts in real-time without transferring the customer. * **Implementation:** * **Chat Integration:** Integrate a chat system into the agent desktop application that allows agents to communicate with experts. * **Conference Calling:** Allow agents to add experts to a conference call with the customer. * **Screen Sharing:** Enable agents to share their screen with experts for assistance. * **Advantages:** Allows agents to resolve complex issues quickly. Reduces the need for transfers. * **Considerations:** Requires a reliable communication platform. Needs a mechanism to manage expert availability. **5. Knowledge Base Integration** * **Concept:** Provide agents with access to a knowledge base that contains expert knowledge. * **Implementation:** * **Knowledge Base Platform:** Use a knowledge base platform to store and organize expert knowledge. * **Integration with Agent Desktop:** Integrate the knowledge base into the agent desktop application so that agents can easily search for information. * **AI-Powered Search:** Use AI to improve the accuracy and relevance of search results. * **Advantages:** Empowers agents to resolve issues independently. Reduces the need to consult with experts. * **Considerations:** Requires a well-maintained knowledge base. Needs a mechanism to ensure that the knowledge is accurate and up-to-date. **Example Scenario (Skill-Based Routing)** Let's say you have a team of experts who specialize in different products (Product A, Product B, Product C). 1. **Define Skills:** In your MCP server, define skills: "Product A Expert," "Product B Expert," "Product C Expert." 2. **Assign Skills:** Assign the appropriate skills to each expert agent. For example, Agent John might have the "Product A Expert" skill. 3. **Configure IVR:** In your IVR (Interactive Voice Response) system, ask the customer which product they need help with. 4. **Routing Rule:** Create a routing rule in the MCP server that says: "If the customer selects 'Product A' in the IVR, route the call to an agent with the 'Product A Expert' skill." 5. **Queue Management:** If no "Product A Expert" agents are available, the call is placed in a "Product A Expert" queue. **Chinese Translation of Key Terms** Here are some translations of key terms that might be helpful when discussing this with Chinese-speaking colleagues: * **MCP Server:** 媒体控制平台服务器 (Méitǐ Kòngzhì Píngtái Fúwùqì) * **Agent Flow:** 代理流程 (Dàilǐ Liúchéng) * **Team of Experts:** 专家团队 (Zhuānjiā Tuánduì) * **Skill-Based Routing:** 基于技能的路由 (Jīyú Jìnéng de Lùyóu) * **Presence-Based Routing:** 基于状态的路由 (Jīyú Zhuàngtài de Lùyóu) * **Escalation:** 升级 (Shēngjí) * **Transfer:** 转接 (Zhuǎnjiē) * **Collaboration:** 协作 (Xiézuò) * **Knowledge Base:** 知识库 (Zhīshì Kù) * **IVR (Interactive Voice Response):** 交互式语音应答 (Jiāohùshì Yǔyīn Yìngdá) * **Queue:** 队列 (Duìliè) * **Routing Rules:** 路由规则 (Lùyóu Guīzé) * **Agent Desktop:** 代理桌面 (Dàilǐ Zhuōmiàn) **Important Considerations** * **MCP Server Capabilities:** The specific features and capabilities of your MCP server will determine which methods are possible. Consult your MCP server documentation or vendor for details. * **Integration:** Integration with other systems (e.g., IVR, CRM, knowledge base) is crucial for many of these methods. * **Agent Training:** Ensure that agents are properly trained on how to use the new features and processes. * **Monitoring and Optimization:** Monitor the performance of the system and make adjustments as needed to optimize routing and efficiency. To give you more specific advice, please provide more details about your MCP server and the specific requirements of your agent flow. For example: * What is the name of your MCP server? * What features does it support (e.g., skill-based routing, presence management, API integration)? * What type of interactions are you handling (e.g., calls, chats, emails)? * What are the specific skills of your experts?