Discover Awesome MCP Servers
Extend your agent with 29,072 capabilities via MCP servers.
- All29,072
- 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
- Speech Processing18
- Customer Data Platforms16
- Travel & Transportation14
- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
- Customer Support10
- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
Save-To-NAS MCP
Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.
Firebase Rules API MCP Server
An MCP server that provides a conversational interface to Firebase Rules API, allowing users to manage and deploy rules that determine data access in Firebase services.
cricket-mcp-server
An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.
Remote MCP Server on Cloudflare
Nordstrom MCP Server
A Model Context Protocol connector that allows users to search products, manage shopping bags and wishlists, and track orders on Nordstrom. It utilizes browser automation to enable seamless interaction with Nordstrom's retail platform through AI clients.
artic-mcp
自然言語でのやり取りを通じて、シカゴ美術館のコレクションへのアクセスを提供するサーバーです。このサーバーにより、AIモデルはシカゴ美術館のコレクションを検索し、アート作品をリソースとして利用できるようになります。
Memory Bank MCP Server
A Model Context Protocol server that provides structured workflow tools for managing software development projects through different complexity levels, offering specialized modes for project planning, design, implementation, and documentation.
message-mcp
Real-time push notifications and alert sounds free you from staring at the screen. While the AI works, you can comfortably enjoy a cup of coffee.
Playwright MCP Server
A production-ready browser automation server that enables AI assistants to interact with web pages using tools for navigation, element interaction, and data extraction. It features a built-in Inspector UI and robust crash recovery for reliable automated testing and information retrieval.
Risk Audit MCP
Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.
Web Intelligence MCP Server
Provides AI agents with real-time web capabilities including live search results, markdown web scraping, business lead generation, and detailed company information. It enables agents to bypass knowledge cutoffs by accessing current web data through a monetized Apify Actor.
Regen Network MCP Server
Provides programmatic access to the Regen Network blockchain, allowing AI agents to interact with ecological credit markets and track carbon or biodiversity assets. It includes over 45 tools for querying blockchain modules, analyzing marketplace dynamics, and performing portfolio impact assessments.
MCP-Odoo
A bridge that allows AI agents to access and manipulate Odoo ERP data through a standardized Model Context Protocol interface, supporting partner information, accounting data, financial records reconciliation, and invoice queries.
Overseerr MCP Server
Enables AI assistants to interact with Overseerr for automated media discovery, requests, and management in your Plex ecosystem, including searching for movies/TV shows, requesting media, checking request status, and managing approvals.
MCP Mobile Automation Test
A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.
Brave-Gemini Research MCP Server
MCP Screenshot Server
Enterprise-grade screenshot capture server for AI agents with multi-format support, PII masking, multi-monitor support, and security controls for capturing full screens, specific windows, or custom regions across Linux, macOS, and Windows.
mcp-regex-tools
Provides a suite of regex and text processing tools for AI agents, including pattern testing, extraction, and replacement with capture group support. It also enables various text transformations like case conversion, line sorting, and deduplication through the Model Context Protocol.
Kali MCP Server
Enables AI assistants to execute penetration testing commands and security tools on Kali Linux remotely. Supports automated reconnaissance, vulnerability scanning, and CTF solving through integration with 25+ offensive security tools like nmap, gobuster, and nuclei.
Strapi MCP Server
Enables AI assistants to interact with Strapi CMS instances through REST API operations. Supports content management, media uploads, schema introspection, and multiple server configurations with JWT authentication.
Hyperledger Fabric MCP Server
Enables AI assistants to interact with Hyperledger Fabric blockchain networks, supporting chaincode queries and invocations, block and transaction retrieval, chaincode lifecycle management, and channel operations.
replicant-mcp
An MCP server that enables AI assistants to build, test, and debug Android applications by interacting directly with the Android development environment. It provides tools for managing emulators, executing Gradle tasks, running ADB commands, and performing UI automation via accessibility trees.
EdgeOne Geolocation MCP Server
Enables AI models to access user geolocation data through EdgeOne Pages Functions using the Model Context Protocol (MCP).
MCP Obsidian
Enables semantic search across Obsidian vaults using vector embeddings and ChromaDB. Supports multiple vaults with real-time indexing and provides both MCP server and CLI interfaces for natural language querying of notes.
Bunny.net MCP Server
Enables interaction with Bunny.net APIs for Stream/Video, Storage, CDN Pull Zones, and DNS services. Provides 35 tools for managing video libraries, files, CDN configurations, and DNS records through Claude.
genome-mcp
Intelligent Genomic Data Server Provides high-quality gene information queries, homologous gene analysis, and evolutionary research functions via the MCP protocol.
longbridge
US/HK markets — 110 tools: real-time quotes, options, orders, fundamentals, alerts, DCA & portfolio
BlazeSQL MCP Server
A Model Context Protocol server that enables AI clients to interact with BlazeSQL's Natural Language Query API, allowing natural language queries against SQL databases.
github-mcp-server
GitHub で Cursor または Claude 用の MCP サーバーを構築することについてですね。 日本語で説明します。 **MCP (Model Control Program) サーバーとは?** MCP サーバーは、大規模言語モデル (LLM) を制御し、管理するためのプログラムです。Cursor や Claude などの LLM を、より効率的に、安全に、そしてカスタマイズされた方法で使用するために役立ちます。 **Cursor または Claude 用の MCP サーバーを GitHub で構築するメリット** * **オープンソース化:** 開発プロセスを公開し、コミュニティからの貢献を募ることで、より強力で汎用性の高いサーバーを構築できます。 * **バージョン管理:** GitHub のバージョン管理機能を利用することで、コードの変更履歴を追跡し、問題が発生した場合にロールバックできます。 * **コラボレーション:** 複数の開発者が共同で作業し、知識やスキルを共有できます。 * **コミュニティ:** GitHub 上でプロジェクトを公開することで、同じような課題に取り組む開発者と繋がり、情報交換やサポートを受けられます。 **構築のステップ (概要)** 1. **要件定義:** どのような機能を MCP サーバーに実装したいかを明確にします。例えば、API の提供、レート制限、アクセス制御、ログ記録、モニタリングなど。 2. **技術選定:** どのプログラミング言語 (Python, Go, Node.js など) とフレームワーク (Flask, FastAPI, Express.js など) を使用するかを決定します。 3. **API 設計:** LLM とのインターフェースとなる API の設計を行います。 4. **実装:** 選定した技術を用いて、MCP サーバーのコードを記述します。 5. **テスト:** ユニットテストや統合テストを実施し、サーバーの動作を確認します。 6. **デプロイ:** サーバーをクラウド環境 (AWS, Google Cloud, Azure など) にデプロイします。 7. **ドキュメント:** サーバーの使い方や API の仕様などを記述したドキュメントを作成します。 8. **GitHub リポジトリ作成:** GitHub にリポジトリを作成し、コードをプッシュします。 9. **継続的インテグレーション/継続的デリバリー (CI/CD) の設定:** コードの変更を自動的にテストし、デプロイする仕組みを構築します。 **考慮事項** * **セキュリティ:** LLM へのアクセスを安全に管理するための対策を講じる必要があります。 * **スケーラビリティ:** 大量のリクエストを処理できるように、サーバーの設計を考慮する必要があります。 * **コスト:** クラウド環境の利用料金や、開発にかかる人件費などを考慮する必要があります。 **補足** 具体的なコード例や詳細な手順については、Cursor や Claude の API ドキュメント、および GitHub 上の類似プロジェクトを参考にしてください。 もし、具体的な機能や技術選定について質問があれば、お気軽にお尋ねください。
teleport-docs-mcp
Enables AI assistants to search and retrieve information from Teleport documentation using a vector database. It provides a tool for semantic vector search over pre-populated embeddings of Teleport pages and examples to assist with technical queries.