Discover Awesome MCP Servers
Extend your agent with 53,204 capabilities via MCP servers.
- All53,204
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
- Virtualization42
- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
- Speech Processing18
- Customer Data Platforms16
- Travel & Transportation14
- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
- Customer Support10
- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
NeuronSearchLab
Enables MCP-compatible AI clients to access the NeuronSearchLab recommendation engine for fetching personalized recommendations, tracking user interactions, and managing catalogue items through natural language.
CrewAI Enterprise MCP Server
Enables kicking off deployed CrewAI workflows and inspecting their status and results.
DeepSeek MCP Server
一个服务器,通过集成 DeepSeek R1 的高级推理引擎来增强 Claude 的推理能力,从而解决复杂的推理任务。
mcp-task-tools
Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.
FlowMCP Server
Provides LocalServer and RemoteServer implementations for running MCP servers locally via stdio or remotely via HTTP/SSE, with simple and advanced deployment options.
Tableau MCP Server
Connects Claude Desktop to Tableau Server for natural language interactions with Tableau data, enabling data extraction, dashboard exports, and comprehensive administrative capabilities including user management, permission auditing, and usage analytics.
MCP Memory Server
Enables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.
md-pdf-mcp
使用 VS Code 的 Markdown 样式和 Python 的 ReportLab 将 Markdown 转换为带样式的 PDF,并带有一个简单的笔记存储系统。
ZigBee2MQTT MCP Server
Enables AI assistants to discover, monitor, and control ZigBee smart home devices through ZigBee2MQTT. Provides intelligent device discovery, state monitoring, and automation integration with support for remote deployment.
Flashlight
Enables whole-codebase code search using natural language queries by leveraging DeepSeek's 1M context window. Automatically shards large projects and utilizes prefix caching for cost-effective repeated searches.
Remote MCP Server on Cloudflare
Enables deployment of authentication-free MCP servers on Cloudflare Workers that can be accessed remotely from MCP clients like Claude Desktop or the Cloudflare AI Playground.
MCP ABAP Server
Enables querying ABAP programs, classes, function modules, and other objects from SAP systems with OAuth 2.0 authentication.
weather-mcp
Provides real-time weather data and alerts from the National Weather Service API, including forecasts for US locations and active alerts for US states.
ManyContacts MCP Server
MCP server for ManyContacts WhatsApp Business CRM that enables AI agents to manage contacts, send messages, run campaigns, and configure auto-replies through comprehensive CRM operations.
System Resource Monitor MCP Server
为 Claude 提供实时系统监控功能,包括 CPU、内存、磁盘、网络、电池和网速指标。
Mealie MCP Server
An MCP server for managing recipes, meal plans, shopping lists, and more through a self-hosted Mealie instance.
Chunky MCP
An MCP server that manages chunking and reading of large responses, allowing tools to handle oversized data that would otherwise fail.
mcp-weather
A Model Context Protocol (MCP) server that enables AI assistants and LLMs to access real-time weather data and forecasts by connecting to the OpenWeatherMap API.
Scira AI MCP Server
Provides AI-powered search capabilities through three specialized tools: web search, people search, and X platform (formerly Twitter) search, all accessible via a Model Context Protocol interface.
Joomla MCP Server
Joomla MCP Server
MongoDB MCP Server
Enables AI assistants to interact natively with MongoDB databases, including schema discovery, CRUD operations, aggregation pipelines, and index management via natural language.
Home Assistant MCP Server
Enables control and monitoring of Home Assistant smart home devices through MCP, allowing users to list entities, check device states, and call services to control lights, switches, sensors, and other connected devices.
MSSQL MCP Server
A Model Context Protocol server that provides comprehensive access to Microsoft SQL Server databases, enabling Language Models to inspect schemas, execute queries, manage database objects, and perform advanced database operations.
Memory Server MCP
Provides persistent memory storage with advanced features like tagging, content search, and expiration settings. It enables users to create directed links between stored memories to build structured relationships and knowledge graphs.
eaight
An AI-native web browser that exposes a full MCP server, letting Claude Code, Codex CLI, and Gemini CLI see and control the browser in real time.
bear-mcp
Enables Claude to interact with Bear notes (via better-bear-cli) for listing, searching, creating, editing, and exporting notes through natural language.
Cloudera Machine Learning (CML) MCP Server
Enables interaction with Cloudera Machine Learning to manage projects, files, and jobs through the Model Context Protocol. It supports tasks such as uploading files, scheduling jobs, and managing runtimes via natural language interfaces.
MCP Server Boilerplate
A starter template for building MCP servers with TypeScript support, example tools, and automated installation scripts for Claude Desktop, Cursor, and other MCP-compatible AI assistants. Provides a foundation for creating custom tools, resource providers, and prompt templates.
shopify-mcp
Okay, here's a translation of "for Shopify API interaction including product, customer, order" into Chinese, along with some nuances and options depending on the specific context: **Option 1 (Most General):** * **中文:** 用于 Shopify API 交互,包括产品、客户和订单。 * **Pinyin:** Yòng yú Shopify API jiāohù, bāokuò chǎnpǐn, kèhù hé dìngdān. * **Explanation:** This is a straightforward and common translation. It's suitable for general documentation or explanations. **Option 2 (More Emphasis on "Handling" or "Working With"):** * **中文:** 用于 Shopify API 交互,处理产品、客户和订单。 * **Pinyin:** Yòng yú Shopify API jiāohù, chǔlǐ chǎnpǐn, kèhù hé dìngdān. * **Explanation:** The word "处理 (chǔlǐ)" means "to handle," "to process," or "to deal with." This option is better if you want to emphasize the actions you're taking with the data. **Option 3 (More Technical, Emphasizing Data Manipulation):** * **中文:** 用于 Shopify API 交互,涉及产品、客户和订单的数据操作。 * **Pinyin:** Yòng yú Shopify API jiāohù, shèjí chǎnpǐn, kèhù hé dìngdān de shùjù cāozuò. * **Explanation:** This is a more technical translation. "涉及 (shèjí)" means "involving" or "relating to," and "数据操作 (shùjù cāozuò)" means "data manipulation." This is suitable for technical documentation or code comments. **Option 4 (More Specific to Development):** * **中文:** 用于 Shopify API 交互,开发产品、客户和订单相关功能。 * **Pinyin:** Yòng yú Shopify API jiāohù, kāifā chǎnpǐn, kèhù hé dìngdān xiāngguān gōngnéng. * **Explanation:** This option is suitable if you are talking about developing features related to product, customer and order. "开发 (kāifā)" means "to develop", and "相关功能 (xiāngguān gōngnéng)" means "related features". **Key Vocabulary:** * **Shopify API:** Shopify API (No translation needed, commonly used as is) * **交互 (jiāohù):** Interaction * **产品 (chǎnpǐn):** Product * **客户 (kèhù):** Customer * **订单 (dìngdān):** Order * **用于 (yòng yú):** Used for * **包括 (bāokuò):** Including * **处理 (chǔlǐ):** To handle, to process, to deal with * **涉及 (shèjí):** Involving, relating to * **数据操作 (shùjù cāozuò):** Data manipulation * **开发 (kāifā):** To develop * **相关功能 (xiāngguān gōngnéng):** Related features **Which option is best?** The best option depends on the context. If you're writing general documentation, Option 1 is a good choice. If you're describing the actions you're taking, Option 2 is better. If you're writing technical documentation, Option 3 might be more appropriate. If you are talking about development, Option 4 is a good choice. I hope this helps! Let me know if you have any other questions.
Proton Mail Bridge MCP
Professional Proton Mail management with 20+ tools, advanced analytics, and seamless Proton Bridge integration.