Discover Awesome MCP Servers
Extend your agent with 27,150 capabilities via MCP servers.
- All27,150
- 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
MCP MQTT Server
Enables LLM agents to interact with MQTT brokers through publish, subscribe, and query operations. Provides fine-grained topic permissions with wildcard support for secure IoT device communication and sensor data access.
MCP Calendar
Okay, here are a few possible translations of "MCP Google Calendar Server with python," depending on the specific nuance you want to convey. I'll also provide some context to help you choose the best one: **Option 1 (Most Literal, Focus on Implementation):** * **Chinese:** 使用 Python 的 MCP Google 日历服务器 * **Pinyin:** Shǐyòng Python de MCP Google Rìlì Fúwùqì * **Explanation:** This is the most direct translation. It emphasizes that you are *using* Python to implement or interact with an MCP Google Calendar Server. "使用" (shǐyòng) means "to use." **Option 2 (Focus on Building/Developing):** * **Chinese:** 用 Python 构建 MCP Google 日历服务器 * **Pinyin:** Yòng Python gòujiàn MCP Google Rìlì Fúwùqì * **Explanation:** This suggests you are *building* or *constructing* the server using Python. "构建" (gòujiàn) means "to build" or "to construct." This is suitable if you're talking about the development process. **Option 3 (Focus on Integration/Interfacing):** * **Chinese:** 通过 Python 与 MCP Google 日历服务器交互 * **Pinyin:** Tōngguò Python yǔ MCP Google Rìlì Fúwùqì jiāohù * **Explanation:** This emphasizes *interaction* or *interfacing* with the server using Python. "通过" (tōngguò) means "through" or "via," and "交互" (jiāohù) means "to interact." This is good if you're talking about a Python script that communicates with an existing MCP Google Calendar Server. **Option 4 (More Concise, Assumes Context):** * **Chinese:** Python MCP Google 日历服务器 * **Pinyin:** Python MCP Google Rìlì Fúwùqì * **Explanation:** This is a shorter, more concise option. It implies that Python is related to the MCP Google Calendar Server, but doesn't explicitly state the relationship (e.g., implementation, interaction). It's suitable if the context already makes the relationship clear. **Important Considerations about "MCP":** * **What is MCP?** The translations above assume the reader knows what "MCP" refers to. If "MCP" is an abbreviation or acronym specific to your project or organization, you might need to explain it the first time you use it. For example, you could write: "使用 Python 的 *[Full Name of MCP]* Google 日历服务器" (Shǐyòng Python de *[Full Name of MCP]* Google Rìlì Fúwùqì). Replace `*[Full Name of MCP]*` with the actual full name. * **Is it a well-known term?** If "MCP" is a widely recognized term in the Chinese-speaking technical community, you can leave it as is. Otherwise, consider translating it or providing a brief explanation. **Which option is best?** The best translation depends on the context: * If you're talking about *writing the server itself* in Python, use **Option 2**. * If you're talking about *using Python to connect to and use* an existing server, use **Option 3**. * If you're talking about *generally using Python in relation to* the server, use **Option 1** or **Option 4**. * If the audience is familiar with the project and the relationship is obvious, **Option 4** is the most concise. **Example Scenario:** Let's say you're writing a blog post about how you built a Google Calendar server using Python and a specific framework called "My Calendar Protocol" (MCP). In this case, you might use: * **Title:** 用 Python 构建 MCP (My Calendar Protocol) Google 日历服务器 (Yòng Python gòujiàn MCP (My Calendar Protocol) Google Rìlì Fúwùqì) This clearly states that you're building the server using Python and that "MCP" stands for "My Calendar Protocol." Remember to choose the translation that best fits the specific context and your intended audience. Good luck!
Gemini Web Automation MCP
Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.
Netlify Express MCP Server
A basic example MCP server running as a serverless function on Netlify using Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment with proper URL routing configuration.
Obsidian MCP Tool Server
Provides an MCP server that allows AI assistants to interact with Obsidian vaults, enabling reading/writing notes, managing metadata, searching content, and working with daily notes.
MCP Test Server
A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
Daisys MCP Server
A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.
Bible API MCP Server
A remote MCP server template for deployment on Cloudflare Workers without authentication. Provides a foundation for building custom MCP tools that can be accessed from Claude Desktop or Cloudflare AI Playground.
ChatSpatial
Natural language-driven spatial transcriptomics analysis via MCP. Integrates 60+ methods for preprocessing, visualization, spatial statistics, cell communication, deconvolution, and trajectory analysis.
Motion MCP Server
Bridges Motion's AI-powered calendar and task management API with LLMs via the Model Context Protocol. It enables users to manage tasks, projects, schedules, and custom fields through natural language conversation.
Cursor EOD MCP (Slack)
Enables sending end-of-day (EOD) status updates directly to Slack channels from Cursor, with customizable message formatting and channel management.
Mcp Server
Slack Notifier MCP
Enables bidirectional communication between MCP clients and Slack, allowing users to receive task notifications and respond to AI inquiries directly within Slack threads. It supports various urgency levels, message threading, and interactive question-and-answer workflows.
Prefect MCP Server
一个服务器,它通过模型上下文协议实现与 Prefect 工作流自动化工具的交互,并通过 uvx 运行机制提供增强的可靠性,以及与 Cursor IDE 的无缝集成。
FMP MCP Server
An MCP server that provides tools for financial analysis and investment research using the Financial Modelling Prep API. It enables users to access real-time stock quotes, financial statements, key metrics, and market sector performance data.
Git MCP Assistant Tool
Enables AI models to perform comprehensive Git repository management including cloning, file operations, branching, committing, and pushing changes via a secure FastMCP interface. It features built-in workspace isolation and rigorous input validation to ensure production-ready repository control.
Binalyze AIR MCP Server
一个实现了模型上下文协议 (MCP) 的 Node.js 服务器,它支持使用自然语言与 Binalyze AIR 的数字取证和事件响应功能进行交互。
Agent Board
A task orchestration system for AI agent teams that provides a Kanban dashboard and 12 MCP tools to manage multi-step workflows with DAG dependencies. It enables agents to coordinate through task threads, automated retries, and real-time webhook notifications.
Scratchpad MCP
Enables shared scratchpad functionality for Claude Code sub-agents with full-text search, workflow organization, and intelligent Chinese text tokenization. Supports seamless context sharing and collaboration across workflows with project scope isolation.
Supabase MCP Server
实现模型上下文协议,为 LLM 提供与 Supabase 数据库交互的工具,支持读取、创建、更新和删除记录等操作,并具备过滤和分页功能。
MCP Standards
A self-learning AI standards system that automatically detects patterns from user corrections and updates AI configuration files. Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.
Celebrity By Api Ninjas
Enables users to search for and retrieve detailed information about celebrities from the API Ninjas database. Supports filtering results by name, nationality, net worth range, and height.
DevGear MCP Server
Provides development tools integration for GitHub, Docker, and Vercel operations through MCP. Enables users to manage repositories, containers, and deployments using natural language commands.
Tamagotchi MCP Server
實作簡易的 Tamagotchi MCP Server,模擬電子雞遊戲
BSC MCP Server
一个后端服务,用于在币安智能链上执行交易,通过结构化的 MCP 集成,实现安全的 BNB 和 BEP-20 代币转移、智能合约交互以及代币创建。
My MCP Servers
Universal Clipboard MCP
Enables seamless content conversion between multiple formats including Markdown, HTML, and DOCX directly within development environments.
mcp-server-moltmark
Manages agent certification by tracking trust scores, capabilities, and test results via a PostgreSQL database. It allows users to verify agent skills, report test outcomes, and automatically certify agents based on performance thresholds.
WordPress MCP Server
Enables AI assistants to interact with WordPress sites through REST APIs, allowing programmatic management of posts, users, comments, categories, and tags with secure authentication.
Wishfinity +W MCP Server
Enables AI assistants to save product URLs to a user's Wishfinity wishlist. When recommending products, the AI can generate a clickable link that saves items for later purchase or gifting.