Discover Awesome MCP Servers

Atla MCP Server

エージェントがATLAのモデルとやり取りするためのMCPサーバーの初期バージョン

https://github.com/Streen9/react-mcp

react-mcp は Claude Desktop と統合されており、ユーザーのプロンプトに基づいて React アプリの作成や変更を可能にします。

WSAPI WhatsApp MCP Server

Enables AI assistants to interact with WhatsApp through the WSAPI service, supporting comprehensive messaging, contact management, group operations, and account management functionality. Allows sending various media types, managing chats, and controlling WhatsApp sessions through natural language.

MCP Playground

MCPクライアントとサーバーを学習するためのMCP Playground

Persistent-Code MCP Server

コードのセマンティックナレッジグラフを作成・維持し、Claudeとのセッション間でコンテキストを維持できるようにします。これにより、コンテキストウィンドウにコードベース全体を含めることなく、高度な検索機能を提供します。

MCP-RAG

RAGシステムでMCPサーバーを活用する

SAGE-MCP

A universal AI assistant MCP server that transforms Claude into a multi-talented development assistant with intelligent mode selection, conversation continuity, and smart file handling. Automatically adapts to different tasks like debugging, code analysis, planning, and testing while supporting multiple AI providers and maintaining context across conversations.

Elfa MCP

エルファ MCP サーバー

Sequa AI

Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.

Scenic MCP

A Model Context Protocol server that enables AI-driven automation and testing of Scenic Elixir applications through a TCP connection.

MCP Google Workspace Server

A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.

MCP Server Boilerplate

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Midjourney MCP Server

A complete Midjourney MCP server that provides image generation features through the GPTNB API, including text-to-image generation, image transformations, advanced editing, and face swapping capabilities.

自动发文 MCP Server

MCP自動投稿サービス (MCP jidou toukou saabisu)

Mcp7zOp

A local MCP server that provides tools for working with 7-Zip archives, enabling archive creation, extraction, item management, and file system operations through a standardized interface.

SVGMaker MCP Server

Enables LLMs to programmatically generate, edit, and convert SVG images using the SVGMaker API and save them to the local filesystem.

Crawl4AI RAG MCP Server

Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.

Interactive Drawing MCP

大規模言語モデルと共同でお絵かきができる MCP サーバー

SeatGeek MCP Server

Enables users to search for events, performers, and venues through the SeatGeek API. Provides event recommendations, detailed venue seating information, and performer discovery capabilities for ticketed entertainment events.

MCP

MCPサーバー (MCP sābā)

mcp-file-oper

file operation

MCP Shell Server

A secure interface that enables language models to execute shell commands on the host operating system through the Model Context Protocol.

PowerPoint Translator

Translates PowerPoint presentations while preserving formatting using Amazon Bedrock models, available as both a standalone tool and a FastMCP service for AI assistants like Amazon Q Developer.

Qiita MCP Server

AIエージェントがQiitaと連携し、標準化されたMCPツールを通じて記事の作成、閲覧、更新を可能にする、モデルコンテキストプロトコル（MCP）サーバー。

Signoz MCP Server

An MCP server that enables AI assistants to interact with Signoz observability platform, providing tools to query dashboards, metrics, traces, logs, and APM data with time range support.

MCP Starter

カスタムのローカルModel Context Protocol (MCP)サーバーを構築するための基盤。CursorやClaude DesktopのようなAIアシスタントがアクセスできるツールを提供します。

Beelzebub MCP Honeypot

Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.