Discover Awesome MCP Servers

Extend your agent with 17,823 capabilities via MCP servers.

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Memos MCP Server

Memos MCP Server

Enables AI agents to interact with Memos instances for personal note-taking and knowledge management. Supports creating, searching, updating, and organizing memos with tags, dates, and visibility settings through natural language.

mcp-optimizer

mcp-optimizer

mcp-optimizer

MCP_Server

MCP_Server

用于LLM集成的MCP服务器 (Yòng yú LLM jíchéng de MCP fúwùqì) Alternatively, depending on the context, you might also say: 用于LLM集成的MCP服务器流程 (Yòng yú LLM jíchéng de MCP fúwùqì liúchéng) - MCP Server for LLM Integration Process (Workflow) Here's a breakdown: * **用于 (Yòng yú):** For / Used for * **LLM 集成 (LLM jíchéng):** LLM Integration * **的 (de):** Possessive particle (of) * **MCP 服务器 (MCP fúwùqì):** MCP Server * **流程 (liúchéng):** Process (Workflow) - optional, depending on if you want to emphasize the process aspect.

Google Sheets MCP Server by CData

Google Sheets MCP Server by CData

Google Sheets MCP Server by CData

Remote MCP Server

Remote MCP Server

A Cloudflare Workers-based server implementing the Model Context Protocol that enables AI assistants like Claude to securely access external tools through OAuth authentication.

Whodis MCP Server

Whodis MCP Server

A Model Context Protocol server that enables AI assistants to check domain name availability using WHOIS lookups.

Dumpling AI MCP Server

Dumpling AI MCP Server

镜子 (jìng zi)

MCP Server C# Quickstart

MCP Server C# Quickstart

Shipping Service MCP Server

Shipping Service MCP Server

Provides a Model Context Protocol server for managing shipping orders and address book functionality with support for connecting to real shipping services via HTTP API.

URL Fetcher MCP Server

URL Fetcher MCP Server

Enables AI assistants to fetch and analyze web content from URLs through MCP protocol. Supports batch processing, content extraction, summarization, and metadata extraction with intelligent filtering of ads and navigation elements.

Indigo MCP Server Plugin

Indigo MCP Server Plugin

A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.

Better Playwright MCP

Better Playwright MCP

A client-server browser automation solution that reduces HTML token usage by up to 90% through semantic snapshots, enabling complex web interactions without exhausting AI context windows.

Context7 MCP Server

Context7 MCP Server

Provides access to the Context7 API for searching up-to-date documentation, code examples, API references, and troubleshooting help across thousands of programming libraries and frameworks. Enables developers and AI agents to quickly find accurate documentation, compare libraries, get migration guides, and resolve coding issues.

DataJud MCP TJMA

DataJud MCP TJMA

A server that integrates with the CNJ DataJud API for the Maranhão Court of Justice (TJMA), enabling automated access to case data for queries, analysis, and AI-based predictions to optimize judicial activities.

GitHub MCP Tool Manager

GitHub MCP Tool Manager

A web application for securely managing GitHub tokens and providing centralized access to various development tools integrated with GitHub accounts.

MCP Server Example

MCP Server Example

一个模型上下文协议(Model Context Protocol,MCP)服务器的教育性实现,演示了如何构建一个功能性的 MCP 服务器,以便与各种 LLM 客户端(如 Claude Desktop)集成。

Context Optimizer MCP

Context Optimizer MCP

一个 MCP 服务器,它使用 Redis 和内存缓存来优化和扩展大型聊天记录的上下文窗口。

Spring Web to MCP Converter 🚀

Spring Web to MCP Converter 🚀

Okay, here's a translation of "Convert Spring REST API to MCP Server with OpenRewrite" into Chinese, along with some considerations for different nuances: **Option 1 (More Literal, General):** * **中文:** 使用 OpenRewrite 将 Spring REST API 转换为 MCP 服务器 * **Pinyin:** Shǐyòng OpenRewrite jiāng Spring REST API zhuǎnhuàn wèi MCP fúwùqì * **Explanation:** This is a straightforward translation. It's suitable if you're talking about a general process or concept. **Option 2 (More Technical, Emphasizing the Transformation):** * **中文:** 使用 OpenRewrite 重构 Spring REST API 为 MCP 服务器 * **Pinyin:** Shǐyòng OpenRewrite chónggòu Spring REST API wèi MCP fúwùqì * **Explanation:** "重构 (chónggòu)" means "refactor." This is a better choice if you're emphasizing the code transformation aspect of using OpenRewrite. It implies that you're changing the structure of the code to fit the MCP server architecture. **Option 3 (More Specific, Implying Migration):** * **中文:** 使用 OpenRewrite 将 Spring REST API 迁移到 MCP 服务器 * **Pinyin:** Shǐyòng OpenRewrite jiāng Spring REST API qiānyí dào MCP fúwùqì * **Explanation:** "迁移 (qiānyí)" means "migrate." This is suitable if you're talking about moving the API from one platform (Spring) to another (MCP). **Option 4 (Most Concise, Assumes Context):** * **中文:** OpenRewrite 实现 Spring REST API 到 MCP 服务器的转换 * **Pinyin:** OpenRewrite shíxiàn Spring REST API dào MCP fúwùqì de zhuǎnhuàn * **Explanation:** This is the most concise. It assumes the reader already knows you're using OpenRewrite to *do* the conversion. "实现 (shíxiàn)" means "implement" or "achieve." **Which one to choose depends on the context:** * If you're introducing the idea for the first time, Option 1 or 2 is good. * If you're talking to someone familiar with the process, Option 4 is fine. * If you're specifically talking about moving the API to a new platform, Option 3 is best. **Important Considerations:** * **MCP Server:** Make sure the reader understands what "MCP Server" refers to. If it's a specific product or technology, you might need to provide more context or a brief explanation elsewhere. * **OpenRewrite:** Assuming the audience knows what OpenRewrite is. If not, a brief explanation might be needed. I would probably lean towards **Option 2 (重构)** if I were talking to a technical audience about the code changes involved. If it's a more general audience, **Option 1 (转换)** is safer.

GitLab-MCP-Server

GitLab-MCP-Server

镜子 (jìng zi)

GitLab MCP Server

GitLab MCP Server

Connects AI assistants to GitLab projects, enabling natural language queries for merge requests, code reviews, pipeline status, test reports, and discussion management.

Kaggle MCP Server

Kaggle MCP Server

用于与 Kaggle 竞赛交互的 MCP 服务器

Sequential Thinking MCP Server (Python Implementation)

Sequential Thinking MCP Server (Python Implementation)

一个使用官方模型上下文协议 (MCP) Python SDK 实现的顺序思考 MCP 服务器。 该服务器促进了用于解决问题和分析的详细、逐步的思考过程。

lsfusion-mcp

lsfusion-mcp

Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.

Ghost CMS MCP Server

Ghost CMS MCP Server

Enables comprehensive management of Ghost CMS instances through the Admin API, supporting content operations (posts, tags), member management, newsletters, tiers, offers, and webhooks through natural language interactions.

arXiv MCP Server

arXiv MCP Server

Enables AI assistants to search and retrieve academic papers from arXiv through MCP tools, supporting search by various criteria, detailed paper information, category browsing, and PDF content extraction.

User Prompt MCP

User Prompt MCP

一个用于 Cursor 的模型上下文协议 (MCP) 服务器,它允许在生成过程中请求用户输入。 (Or, a slightly more formal translation:) 一个为 Cursor 设计的模型上下文协议 (MCP) 服务器,该服务器能够在生成内容的过程中请求用户提供输入。

Starterbox

Starterbox

A meta-MCP server that helps users install and configure other MCP servers directly through Claude prompts, supporting both npm and PyPi packages.

Iris MCP

Iris MCP

Enables Claude Code instances across different project directories to communicate and coordinate. Stay in one project while asking questions to teams in other codebases through cross-project messaging and coordination.

Alpaca Trading MCP Server

Alpaca Trading MCP Server

一个模型上下文协议服务器,它与 Alpaca 交易 API 接口,允许用户通过自然语言交互来管理投资组合、下单交易和访问市场数据。 (Alternatively, a slightly more formal translation:) 一个模型上下文协议服务器,该服务器与 Alpaca 交易 API 对接,使用户能够通过自然语言交互管理投资组合、执行交易并获取市场数据。

lsp-mcp

lsp-mcp

A multi-language code analysis server that helps LLMs or humans automatically lint, type-check, and improve code with minimal installation friction, currently supporting Python with plans for other languages.