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mcp_agent
MCP (Minecraft Coder Pack) のための公開サーバー、ということですね。いくつか解釈が考えられます。 * **Minecraft Coder Pack (MCP) を使って開発されたMODが動作する公開サーバー:** この場合、MODが動作するMinecraftサーバーを指します。 * **Minecraft Coder Pack (MCP) の開発や情報交換のための公開サーバー:** Discordサーバーや、フォーラムなどを指す可能性があります。 どちらの意味で翻訳しますか? **もし、MODが動作するMinecraftサーバーを指す場合:** * Minecraft Coder Pack (MCP) で開発されたMODが動作する公開サーバー * MCP MOD対応の公開サーバー **もし、開発や情報交換のためのサーバーを指す場合:** * Minecraft Coder Pack (MCP) のための公開サーバー (開発・情報交換) * MCPに関する情報交換や開発を行う公開サーバー より正確な翻訳のため、どちらの意味か教えていただけると助かります。
mcp-server-kubernetes
鏡 (Kagami)
Supabase MCP Server
鏡 (Kagami)
JetBrains MCP Server Plugin
JetBrains MCP (Minecraft Coder Pack) サーバープラグイン
ChEMBL-MCP-Server
🔍 単純なMCPインターフェースを通じて、AIアシスタントがChEMBLを検索、アクセス、分析できるようにする。
Mcp Server
Mcp Ffmpeg
LLMが、人間や機械が生み出したほぼすべてのものをデコード、エンコード、トランスコード、多重化、分離、ストリーム、フィルタリング、再生できるようにするための、モデルコンテキストプロトコルサーバー。
MCP Server Hello World
mcp-github-server
GitHub API を使用した Model Context Protocol サーバーの実装
Model Context Protocol Server
FastAPI を使用した Model Context Protocol サーバーの実装
Selector_MCP_Server
セレクターAI MCPサーバー
MCP
Awesome-Medical-MCP-Servers
医療用MCPサーバーのコレクション
MCP TTS Say
MCPサーバーツール、テキスト読み上げ用
Letta MCP Server
鏡 (Kagami)
CLI MCP Server
鏡 (Kagami)
testmcpgithubdemo
MCP サーバーのデモから作成されました。
MCPE Alpha Server for Pterodactyl
Pterodactylパネルで使用するMCPE Alphaサーバーのコア
mcp-server-collector MCP server
鏡 (Kagami)
duckduckgo-web-search MCP Server
DuckDuckGo Web Search MCP Server - Claude Desktop 向けのシンプルなウェブ検索実装 (DuckDuckGo API 使用)
Laravel Artisan MCP Server
Laravel Artisanコマンドを、Claudeやその他のMCPクライアントを通じて安全に実行できるようにする、Model Context Protocol (MCP)サーバー。
Setup
Ableton Live 用の MCP サーバー
graphexpert2025
Okay, here are comprehensive notes on Graph Databases and MCP (presumably Minecraft Protocol) Servers, designed to provide enough context for an LM (Language Model) to quickly grasp the essentials for related projects. **I. Graph Databases** **A. Core Concepts:** * **What is a Graph Database?** A database that uses graph structures with nodes, edges, and properties to represent and store data. Focuses on relationships between data points. Optimized for relationship traversal and analysis. * **Key Components:** * **Nodes (Vertices):** Represent entities (people, places, things, events). Think of them as the nouns in your data. * **Edges (Relationships):** Represent connections between nodes. They have a direction (directed or undirected) and a type (e.g., "FRIENDS_WITH", "LOCATED_IN", "PURCHASED"). Think of them as the verbs in your data. * **Properties:** Key-value pairs that describe nodes and edges. Nodes might have properties like "name", "age", "location". Edges might have properties like "date", "weight", "rating". * **Why Use a Graph Database?** * **Relationship-Centric Data:** Excellent for data where relationships are as important as the data itself (e.g., social networks, recommendation engines, knowledge graphs, fraud detection, supply chain management). * **Complex Relationships:** Handles deeply nested and interconnected data more efficiently than relational databases. * **Performance:** Fast traversal of relationships, especially for complex queries involving multiple hops. Avoids expensive JOIN operations common in relational databases. * **Flexibility:** Schema-less or schema-light, allowing for easy evolution of the data model. Easier to add new relationships and properties without major schema changes. * **Intuitive Modeling:** The graph model often closely mirrors the real-world domain, making it easier to understand and model the data. * **Common Use Cases:** * **Social Networks:** Modeling user connections, friend recommendations, content sharing. * **Recommendation Engines:** Suggesting products, movies, or content based on user preferences and relationships. * **Knowledge Graphs:** Organizing and connecting information from various sources to enable semantic search and reasoning. * **Fraud Detection:** Identifying patterns of fraudulent activity by analyzing relationships between accounts, transactions, and devices. * **Supply Chain Management:** Tracking products and materials through the supply chain, identifying bottlenecks and risks. * **Identity and Access Management (IAM):** Managing user permissions and access rights based on roles and relationships. * **Graph Query Languages:** * **Cypher (Neo4j):** A declarative graph query language designed for readability and ease of use. The most popular graph query language. * **Gremlin (Apache TinkerPop):** A graph traversal language that supports multiple graph databases. More programmatic and flexible than Cypher. * **SPARQL:** A query language for RDF (Resource Description Framework) data, often used with semantic web technologies. * **Popular Graph Database Systems:** * **Neo4j:** The leading graph database, known for its performance, scalability, and Cypher query language. Both community and enterprise editions are available. * **Amazon Neptune:** A fully managed graph database service from AWS, supporting both Gremlin and SPARQL. * **Azure Cosmos DB:** A multi-model database service from Microsoft Azure that includes graph database capabilities, supporting Gremlin. * **JanusGraph:** A distributed, scalable graph database built on top of other storage backends (e.g., Cassandra, HBase, Bigtable). * **Dgraph:** A distributed, horizontally scalable, and fast graph database. * **Key Considerations:** * **Data Modeling:** Designing the graph schema (nodes, edges, properties) is crucial for performance and query efficiency. Think about the questions you want to answer with the data. * **Scalability:** Consider the size and growth of your data and choose a graph database that can scale accordingly. * **Query Performance:** Optimize queries for efficient traversal of relationships. Use indexes and appropriate query patterns. * **Data Consistency:** Ensure data consistency and integrity, especially in distributed environments. * **Security:** Implement appropriate security measures to protect sensitive data. **B. Example (Social Network):** * **Nodes:** `User`, `Post`, `Group` * **Edges:** * `User` -[:FRIENDS_WITH]-> `User` * `User` -[:LIKES]-> `Post` * `User` -[:POSTED]-> `Post` * `User` -[:MEMBER_OF]-> `Group` * `Post` -[:BELONGS_TO]-> `Group` * **Properties:** * `User`: `name`, `age`, `location`, `email` * `Post`: `content`, `timestamp`, `likes` * `Group`: `name`, `description`, `creation_date` **C. Cypher Example (Neo4j):** ```cypher // Find all friends of a user named "Alice" MATCH (alice:User {name: "Alice"})-[:FRIENDS_WITH]->(friend:User) RETURN friend.name; // Find all users who liked a post with content "Graph Databases are awesome!" MATCH (user:User)-[:LIKES]->(post:Post {content: "Graph Databases are awesome!"}) RETURN user.name; ``` **II. Minecraft Protocol (MCP) Servers** **A. Core Concepts:** * **What is the Minecraft Protocol?** The communication protocol used between Minecraft clients and servers. It defines the format of packets exchanged for various actions, such as player movement, chat messages, block updates, and entity interactions. * **Why is it important?** Understanding the protocol allows developers to: * Create custom Minecraft servers (e.g., Spigot, Paper, Fabric, Forge). * Develop Minecraft bots and automation tools. * Build custom Minecraft clients. * Analyze Minecraft network traffic. * Create proxies and middleware for Minecraft servers. * **Key Components:** * **Packets:** The fundamental unit of communication. Each packet has a unique ID and a specific structure. * **Packet IDs:** Numerical identifiers that indicate the type of packet (e.g., `0x00` for Handshake, `0x05` for Player Position). * **Packet Data:** The data contained within a packet, encoded according to specific data types (e.g., integers, strings, booleans, arrays). * **States:** The connection between a client and server goes through different states: * **Handshaking:** Initial connection and protocol version negotiation. * **Status:** Requesting server information (e.g., player count, MOTD). * **Login:** Authentication and player profile retrieval. * **Play:** The main game state where players interact with the world. * **Data Types:** Minecraft uses specific data types for encoding packet data, including: * **VarInt:** A variable-length integer encoding. * **VarLong:** A variable-length long encoding. * **String:** UTF-8 encoded strings. * **Boolean:** True or false values. * **Integer:** 32-bit integers. * **Long:** 64-bit integers. * **Float:** 32-bit floating-point numbers. * **Double:** 64-bit floating-point numbers. * **UUID:** Universally Unique Identifiers. * **NBT (Named Binary Tag):** A hierarchical data format used for storing complex data structures (e.g., item data, entity data, world data). * **Common Packet Types:** * **Handshake (0x00):** Initiates the connection and specifies the protocol version. * **Login Start (0x00):** Sends the player's username to the server. * **Join Game (0x26):** Sent by the server to the client after successful login, providing information about the game world. * **Player Position & Rotation (Clientbound: 0x36, Serverbound: 0x12):** Updates the player's position and rotation. * **Chat Message (Clientbound: 0x0E, Serverbound: 0x03):** Sends chat messages between players and the server. * **Block Change (0x0B):** Updates a single block in the world. * **Chunk Data (0x20):** Sends a chunk of the world to the client. * **Entity Metadata (0x44):** Updates the properties of an entity (e.g., health, name, appearance). * **Resources:** * **Wiki.vg:** The definitive resource for the Minecraft protocol. Provides detailed documentation of packets, data types, and states. (Search for "wiki.vg minecraft protocol") * **Minecraft Source Code (Decompiled):** Examining the decompiled source code of Minecraft clients and servers can provide valuable insights into the protocol implementation. * **Packet Analyzers (e.g., Wireshark):** Tools like Wireshark can be used to capture and analyze Minecraft network traffic, allowing you to inspect the packets being exchanged. * **Libraries:** Libraries exist in various programming languages (e.g., Java, Python, C++) that provide abstractions for working with the Minecraft protocol. Examples include: * **Java:** `minecraft-server-util`, `mcprotocollib` * **Python:** `mcstatus`, `nbt` * **Key Considerations:** * **Protocol Version:** The Minecraft protocol changes with each version of the game. Ensure that your code is compatible with the target protocol version. * **Data Encoding:** Pay close attention to the data types and encoding used in each packet. Incorrect encoding can lead to errors and unexpected behavior. * **Security:** Be aware of security vulnerabilities in the protocol and implement appropriate security measures to protect against attacks. * **Performance:** Optimize your code for efficient packet handling, especially when dealing with large amounts of data. * **Rate Limiting:** Minecraft servers often implement rate limiting to prevent abuse. Be mindful of these limits and avoid sending too many packets in a short period of time. **B. Example (Sending a Chat Message):** 1. **Packet ID:** `0x03` (Serverbound Chat Message) 2. **Data:** * `message` (String): The chat message to send. **C. Python Example (using a hypothetical library):** ```python # Assuming a library called 'mcprotocol' import mcprotocol client = mcprotocol.Client("example.com", 25565) client.login("MyBot") client.send_chat_message("Hello, world!") client.close() ``` **III. LM Considerations (How to use this information):** * **Contextual Understanding:** The LM can use this information to understand the domain of graph databases and Minecraft servers. It can then use this understanding to answer questions, generate code, and perform other tasks related to these topics. * **Code Generation:** The LM can use the information about packet structures and query languages to generate code for interacting with graph databases and Minecraft servers. * **Question Answering:** The LM can use the information to answer questions about graph databases and Minecraft servers. For example, it could answer questions about the different types of graph databases, the different packet types in the Minecraft protocol, or how to perform a specific task using a graph database or Minecraft server. * **Data Modeling:** The LM can assist in data modeling for graph databases by suggesting appropriate nodes, edges, and properties based on the use case. * **Query Optimization:** The LM can analyze graph queries and suggest optimizations to improve performance. * **Protocol Version Handling:** The LM can be trained to handle different Minecraft protocol versions and generate code that is compatible with the target version. **In summary, this document provides a foundational understanding of Graph Databases and Minecraft Protocol Servers, enabling an LM to effectively engage with projects in these domains. The key is to focus on the relationships in graph databases and the packet structure in the Minecraft protocol.**
sek-fx-mcp
為替レートに関するスウェーデン国立銀行 (Riksbanken) の API に LLM を接続する、En Model Context Protocol-server (MCP)。
MCP Server
Cursor IDEとAIモデルの橋渡し役となるミドルウェアサーバー。プロジェクトのコンテキストとGeminiを使用してAIの応答を検証します。
mcp-testing-server
Financial Analysis MCP Server
Anthropicモデルのコンテキストプロトコル(MCP)サーバー。alphavantage.comとfinancialmodellingprep.comのAPI統合による金融分析用。
MCP File Finder
Python での MCP サーバー
Luke Desktop
Claude AI用のモダンなデスクトップクライアント。Tauri、React、TypeScriptで構築されており、MCPサーバーをサポートしています。
local-command-server MCP Server
鏡 (Kagami)