Discover Awesome MCP Servers
Extend your agent with 16,348 capabilities via MCP servers.
- All16,348
- 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
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- Customer Data Platforms16
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- Web Search Integration12
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- Art & Culture4
- Language Translation3
- Legal & Compliance2
Biel AI
Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.
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!
🧠 mcp_server-client_EAG-S-4 - Local Setup
Dialogflow MCP Server
An MCP server that enables natural language interactions with Google's Dialogflow API, allowing users to create and manage conversational agents, intents, and entities through the Dialogflow v3beta1 API.
Image Description MCP Server
Enables AI assistants to analyze images from URLs or local files using xAI's Grok API. Provides detailed image descriptions, technical metadata extraction, and optical character recognition (OCR) capabilities.
MCP Playground
A demonstration MCP server supporting both Stdio and SSE transports, providing example tools (echo, add, time, UUID generation) and resources for learning and testing MCP implementations.
Malaysia Prayer Time MCP Server
镜子 (jìng zi)
https://github.com/jkingsman/qanon-mcp-server
为社会学研究提供对所有匿名者Q (QAnon) 帖子进行搜索、探索和分析的功能。
MCP Boilerplate
A server that implements the Model Context Protocol, providing a standardized way to connect AI models to different data sources and tools.
TickTick MCP Server
An MCP server that enhances TickTick workflow by providing comprehensive task management tools with improved filtering capabilities, allowing AI assistants and MCP-compatible applications to interact with TickTick tasks with greater precision.
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.
alpha-ticker-mcp
An MCP server that streams real-time Binance Alpha token prices and liquidity data, powering your AI agents and workflows with instant alpha market insights.
Zoho Projects MCP Server by CData
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Zoho Projects (beta): https://www.cdata.com/download/download.aspx?sku=PZZK-V&type=beta
VitalDB MCP Server
Enables natural language exploration and advanced analysis of VitalDB medical datasets. Supports statistical filtering, correlation analysis, group comparisons, anomaly detection, and comprehensive visualization of physiological signals and patient data.
Housing MCP Server
用于查询公共住房信息的 MCP 服务器
Enhanced Directory Context MCP Server
Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.
Mcp Server
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。
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.
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.
CastPlan MCP
Provides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.
git-commit-aider MCP Server
Makes git commits on behalf of AI by appending "(aider)" to the committer's name, allowing tracking of AI contributions in your codebase.
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。
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.