发现优秀的 MCP 服务器

DevReview MCP Server

An AI-assisted code review tool that connects to a Supabase backend, enabling automated code review through MCP.

Chess MCP Server

Enables chess gameplay and interaction through MCP protocol. Allows users to play chess games, make moves, and manage chess sessions through natural language commands.

payroll-normalizer-mcp

Enables AI tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

hermes-marketplace-tools

Provides MCP tools for searching and comparing products on Wildberries (and Ozon planned), including product search, detailed card retrieval, and review fetching, normalized for LLM consumption.

payments-reliability-copilot-mcp

MCP server for payment reliability tasks including retry strategy recommendation, payment failure simulation, billing guardrail validation, fee leakage detection, and incident summarization.

Jiminny MCP Server

Enables access to Jiminny sales call transcripts, AI-generated summaries, and action items directly within Cursor. Users can list recent conversations, retrieve speaker-labeled transcripts, and search for specific meeting topics using natural language.

MCP Resume Chat Server

Enables AI-powered conversations about resume/CV content and email notification sending through a comprehensive MCP server. Features a modern Next.js frontend with resume chat interface, email forms, and resume viewer for SE interview demonstrations.

openrouter-image-gen-mcp

MCP server for generating images using OpenRouter API, supporting models like Gemini 2.5 Flash. Enables image generation with flexible options like saving to local files.

Patent MCP Server

An MCP server that gives AI agents access to global patent data, including 1.4 billion records and Chinese full-text, with zero-config mode for basic tools.

wc26-mcp

MCP server for FIFA World Cup 2026 data: matches, teams, venues, city guides, fan zones, visa info, injuries, odds, standings, bracket, and historical matchups. 18 tools, zero external API dependencies.

IoT MCP Server

MCP server for managing IoT devices and network infrastructure, supporting 135 tools across 17 device types via SSH, REST API, and Serial protocols.

responsible-gambling-mcp

Enables users to calculate safe gambling budgets based on financial situation and assess gambling habits with risk levels and recommendations.

telegram-mcp-server

Enables Claude to interact with Telegram channels and groups through API or web scraping for reading posts and searching.

satellite-mcp

Full-spectrum GEOINT server with 171 tools covering satellite imagery, aircraft tracking, maritime surveillance, military intelligence, conflict monitoring, environmental analysis, critical infrastructure, sanctions compliance, and cyber-geo intelligence from open-source data.

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." into Chinese: **Option 1 (More Literal):** 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。 **Option 2 (Slightly More Natural):** 本示例展示如何在 Spring Boot 应用中整合 Spring AI 的 MCP (模型上下文协议) 支持，包括服务端和客户端的实现方式。 **Explanation of Choices:** * **展示 (zhǎnshì) / 本示例 (běn shìlì):** Both mean "showcase" or "demonstrate." "本示例" (this example) is slightly more common in technical documentation. * **集成 (jíchéng) / 整合 (zhěnghé):** Both mean "integrate." "整合" can sometimes imply a more thorough or seamless integration. * **Spring AI 对 MCP (模型上下文协议) 的支持 (Spring AI duì MCP (móxíng shàngxiàwén xiéyì) de zhīchí):** This is a direct translation of "Spring AI's support for MCP (Model Context Protocol)." The Chinese translation of "Model Context Protocol" is "模型上下文协议" (móxíng shàngxiàwén xiéyì). * **涵盖 (hāngài) / 包括 (bāokuò):** Both mean "covering" or "including." * **服务端 (fúwùduān) / 客户端 (kèhùduān):** These are standard translations for "server-side" and "client-side," respectively. * **实现 (shíxiàn) / 实现方式 (shíxiàn fāngshì):** Both mean "implementation." "实现方式" (implementation method/way) is slightly more descriptive. **Recommendation:** I would recommend **Option 2 (Slightly More Natural):** **本示例展示如何在 Spring Boot 应用中整合 Spring AI 的 MCP (模型上下文协议) 支持，包括服务端和客户端的实现方式。** This option sounds a bit more natural and is commonly used in Chinese technical documentation.

mcp-flow

A safe, local MCP server that lets Claude drive a controlled software-development loop (inspect, read, plan, patch, apply, check, analyze, fix, summarize) on a project, using deterministic tools and real diffs/test runs.

mcp-interaction-studio

MCP server for Salesforce Interaction Studio that enables listing and managing datasets, campaigns, segments, and performance stats via natural language.

long-context-mcp

An MCP server implementing Recursive Language Models (RLM) to process arbitrarily large contexts through a programmatic probe, recurse, and synthesize loop. It enables LLMs to perform multi-step investigations and evidence-backed extraction across massive file sets without being limited by standard context windows.

PentestThinkingMCP

An AI-powered penetration testing reasoning engine that provides automated attack path planning, step-by-step guidance for CTFs/HTB challenges, and tool recommendations using Beam Search and MCTS algorithms.

cyberdyne-mcp

Lets an AI agent hire and pay a verified human: post real-world tasks (voice, observation, judgment) and pay in USDC via a non-custodial x402 auth-capture escrow on Base, budget frozen at deploy. Humans verify their X identity before submitting.

5dive MCP server

Exposes the 5dive agent-fleet CLI (tasks, agents, digest) as stdio MCP tools. MIT.

TallyPrime MCP Server

Gives AI models native-level control over TallyPrime ERP, covering 169+ tools across all functional modules including masters, vouchers, reports, GST, payroll, and more.

Cab Service MCP Server

Enables cab booking and management through natural conversation, allowing users to book rides, cancel bookings, and view driver details. Works with Google Maps MCP to provide comprehensive travel planning with automatic route optimization and cab arrangements between destinations.

Velo Payments API MCP Server

An MCP server that enables interaction with Velo Payments APIs for global payment operations, automatically generated using AG2's MCP builder from the Velo Payments OpenAPI specification.

SkillMCP

Serves project-specific skills and behavioral rules to AI agents via MCP, enabling automatic injection of behavioral rules and on-demand knowledge for coding assistants like Claude Code and Gemini CLI.

rocket-cli

Rocket.Chat bridge with a local SQLite/FTS5 cache — CLI for humans, MCP server for LLM agents.

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?

paytabs-mcp

MCP server for PayTabs payment gateway (MENA region). Enables payment page creation, transaction management, refunds, voids, tokenization, and payment method discovery.

MCP Server

A Multi-Agent Conversation Protocol Server that interfaces with the Exa Search API, allowing agents to perform semantic search operations through a standardized protocol.

SEO Performance MCP

A MCP server that turns your scattered SEO and analytics data into one clear verdict per URL. Plug it into Claude, Cursor, or any MCP-aware client and ask: "Which three posts should I update this week?" - and get an answer backed by hard numbers.