Discover Awesome MCP Servers

Extend your agent with 84,516 capabilities via MCP servers.

All84,516
rviz-mcp

rviz-mcp

MCP server enabling AI agents to control RViz2 displays, fixed frames, and views, with offline mock support for CI and demos.

MCP LLMS-TXT Documentation Server

MCP LLMS-TXT Documentation Server

一个开源的 MCP 服务器,为 Cursor、Windsurf 和 Claude 等应用程序提供访问 llms.txt 文档文件的能力,允许用户控制和审计上下文检索。

tarot-mcp-server

tarot-mcp-server

Provides tarot card meanings, spreads (three-card, yes/no), and random draws for any MCP-compatible client.

Email Validator AI MCP

Email Validator AI MCP

Email Validator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

resQ MCP Server

resQ MCP Server

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

Amazon CloudWatch Logs MCP Server

Amazon CloudWatch Logs MCP Server

一个模型上下文协议 (MCP) 服务器,它使 AI 助手能够通过使用 AWS SDK 的标准化接口与 Amazon CloudWatch Logs 交互。

Ed Discussions MCP Server

Ed Discussions MCP Server

Enables AI assistants to interact with Ed Discussions (EdStem) course discussions, manage threads, comments, and facilitate Q&A, with tools for analytics and read status control.

dokploy-mcp-server

dokploy-mcp-server

A comprehensive MCP server for Dokploy that provides 14 action-based tools covering the full DevOps lifecycle with minimal token usage. It enables AI assistants to manage projects, applications, databases, domains, servers, and more through a unified interface.

playwright-report-mcp

playwright-report-mcp

An MCP server for running Playwright tests and reading structured results, failed test details, and attachment content, designed for AI agents doing test failure analysis.

MCP Atlassian

MCP Atlassian

MCP 服务器处理 Jira 集成。

mcp-server-example

mcp-server-example

好的,这是一个简单的 MCP 服务器示例,希望能帮助你更好地理解: **英文 (English):** "Let's say you have a Minecraft server with a custom mod that adds a new type of ore called 'Magma Ore'. This ore only spawns in the Nether and can be smelted into 'Magma Ingots'. You want to use MCP to decompile the Minecraft server code and understand how the ore generation works, and how the smelting recipe is registered. Using MCP, you would: 1. **Decompile the Minecraft server jar:** This will give you the source code of the Minecraft server. 2. **Search for relevant code:** You would search for code related to ore generation, specifically in the Nether dimension. You might look for classes related to world generation, block registration, or dimension loading. 3. **Analyze the code:** You would then analyze the code to understand how the 'Magma Ore' is added to the world generation process. You would look for how the ore is registered as a block, how its spawn conditions are defined, and how it's added to the Nether's chunk generation. 4. **Search for smelting recipes:** You would also search for code related to smelting recipes. You might look for classes related to recipe registration or furnace logic. 5. **Analyze the smelting recipe:** You would analyze the code to understand how the 'Magma Ore' is registered to be smelted into 'Magma Ingots'. You would look for how the recipe is defined and how it's added to the furnace's recipe list. By using MCP to decompile and analyze the Minecraft server code, you can gain a deeper understanding of how the game works and how custom mods interact with the game's core mechanics." **中文 (Chinese):** “假设你有一个 Minecraft 服务器,其中包含一个自定义模组,该模组添加了一种名为“岩浆矿石 (Magma Ore)”的新型矿石。这种矿石只会在下界 (Nether) 中生成,并且可以冶炼成“岩浆锭 (Magma Ingots)”。 你想使用 MCP 来反编译 Minecraft 服务器代码,并了解矿石生成的工作原理以及冶炼配方是如何注册的。 使用 MCP,你可以: 1. **反编译 Minecraft 服务器 jar 文件:** 这将为你提供 Minecraft 服务器的源代码。 2. **搜索相关代码:** 你将搜索与矿石生成相关的代码,特别是在下界维度中。 你可能会查找与世界生成、方块注册或维度加载相关的类。 3. **分析代码:** 然后,你将分析代码以了解“岩浆矿石”是如何添加到世界生成过程中的。 你将查找矿石如何注册为方块,如何定义其生成条件,以及如何将其添加到下界的区块生成中。 4. **搜索冶炼配方:** 你还将搜索与冶炼配方相关的代码。 你可能会查找与配方注册或熔炉逻辑相关的类。 5. **分析冶炼配方:** 你将分析代码以了解“岩浆矿石”是如何注册为冶炼成“岩浆锭”的。 你将查找配方是如何定义的,以及如何将其添加到熔炉的配方列表中。 通过使用 MCP 反编译和分析 Minecraft 服务器代码,你可以更深入地了解游戏的工作原理以及自定义模组如何与游戏的核心机制交互。” **解释 (Explanation):** This example illustrates how MCP can be used to understand the inner workings of a Minecraft server, especially when dealing with custom mods. It highlights the key steps involved: decompiling the code, searching for relevant sections, and then analyzing those sections to understand how specific features are implemented. The example focuses on ore generation and smelting recipes, but the same principles can be applied to understanding other aspects of the game.

mcp-memory-server

mcp-memory-server

A knowledge-graph-based persistent memory server for the Model Context Protocol, storing entities, observations, and relations in SQLite with semantic vector search and temporal versioning.

ibge-data-mcp

ibge-data-mcp

Enables LLMs to access Brazilian IBGE statistical data (population, economy, agriculture) via natural language, with tools for querying aggregated data and metadata.

Prompt Learning MCP Server

Prompt Learning MCP Server

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

Marketic

Marketic

An MCP server providing 32 marketing intelligence tools for competitive analysis, content generation, campaign management, and analytics, enabling MCP-compatible agents to execute marketing operations natively.

Mcp Server V2ex

Mcp Server V2ex

tdrest

tdrest

Enables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.

research-assistant

research-assistant

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

StillOS

StillOS

MCP server providing calibrated prediction signals for Kalshi CPI/GDP markets and tamper-evident claim notarization with Ed25519 receipts.

WCAG Color Contrast MCP Server

WCAG Color Contrast MCP Server

Enables accurate WCAG color contrast checking and accessibility analysis by calculating actual contrast ratios between color pairs, checking compliance levels, and analyzing luminance values for web accessibility.

Google MCP Server

Google MCP Server

Enables to interact with Google Mail, Docs, Sheets, and Tasks through natural language.

didlogic_mcp

didlogic_mcp

一个用于 Didlogic API 的模型上下文协议 (MCP) 服务器实现。该服务器允许大型语言模型 (LLM) 通过标准化的接口与 Didlogic 服务进行交互。

Poly Pizza MCP

Poly Pizza MCP

Enables searching, retrieving, and browsing thousands of free 3D models from Poly Pizza through natural language commands.

Backendless Console SDK MCP Server

Backendless Console SDK MCP Server

Enables AI assistants to manage Backendless applications, including databases, users, files, and API services, through natural language commands, with support for OAuth2 authentication and hosted endpoints.

Enola

Enola

Enola. is a local Model Context Protocol (MCP) server. A deterministic map of your codebase for AI coding agents — the real architecture, extracted from your source, not guessed.

Korea Housing MCP

Korea Housing MCP

This MCP server integrates South Korea's national law information, building registers from MOLIT, and KOSIS statistics for housing development research. It enables searching laws, retrieving building details, and accessing statistical data through natural language.

DeTLeng BigQuery MCP Server

DeTLeng BigQuery MCP Server

Enables AI assistants to query trusted BigQuery analytics using curated Business Intelligence tools, providing secure, accurate business metrics and KPIs through natural language.

axone-mcp

axone-mcp

🤖 Axone 的 MCP 服务器 – AI 驱动工具的数据宇宙的门户

Shrike Security MCP Server

Shrike Security MCP Server

Protects AI agents from threats like prompt injection, jailbreaks, and SQL injection through a multi-layer scanning pipeline. It also enables PII redaction and rehydration to ensure data privacy during LLM interactions.

mcp-git-coord

mcp-git-coord

Reduces token waste by caching code understanding in .mi context files and prevents agent conflicts by coordinating intent and file access across sessions.