Discover Awesome MCP Servers

MCP Document Reader

Server Protokol Konteks Model (MCP) yang memungkinkan interaksi dengan dokumen PDF dan EPUB, dirancang untuk bekerja dengan Windsurf IDE oleh Codeium.

PCILeech MCP Server

Enables AI assistants to perform DMA-based memory operations through PCILeech hardware using natural language commands, supporting memory reading, writing, and multi-format visualization for debugging and security research.

MCP SSE Client Python

Klien MCP sederhana untuk Server MCP jarak jauh 🌐

abuseipdb_mcp

Here are a few possible translations, depending on the context and what you want to emphasize: **More literal translations:** * **Server MCP untuk API AbuseIPDB:** This is a direct translation and is understandable, but might sound a bit technical. * **Server MCP untuk API AbuseIPDB:** (No change needed, as MCP is often used as-is in technical contexts) **More descriptive translations:** * **Server MCP yang menggunakan API AbuseIPDB:** This translates to "MCP server that uses the AbuseIPDB API." * **Server MCP untuk integrasi dengan API AbuseIPDB:** This translates to "MCP server for integration with the AbuseIPDB API." * **Server MCP yang terhubung ke API AbuseIPDB:** This translates to "MCP server that connects to the AbuseIPDB API." **Explanation of Choices:** * **MCP:** The acronym "MCP" is often used directly in Indonesian, especially in technical contexts. It's likely your target audience will understand it. If you need to spell it out, you'd need to know what MCP stands for in your specific context. * **API AbuseIPDB:** "API AbuseIPDB" is also likely to be understood as-is. * **"untuk" vs. other prepositions:** "untuk" is the most common and direct translation of "for." However, "yang menggunakan," "untuk integrasi dengan," and "yang terhubung ke" provide more context and can be more helpful to the reader. **Recommendation:** The best translation depends on your audience and the purpose of the translation. If you're writing for a technical audience, the more literal translations are fine. If you want to be clearer, use one of the more descriptive options. Without more context about what "MCP" means, I would recommend: **"Server MCP yang menggunakan API AbuseIPDB"** This is a good balance of accuracy and clarity.

Deep Search MCP Server

Provides comprehensive search capabilities including web search, content extraction, news search, academic search, and AI-powered multi-source research. Enables natural language access to web content and research through a production-ready MCP server.

Xcode Diagnostics MCP Plugin

Terhubung ke sistem build Xcode untuk mengekstrak, mengurai, dan menampilkan kesalahan dan peringatan dari proyek Swift Anda, membantu asisten AI dengan cepat mengidentifikasi masalah kode tanpa mencari secara manual melalui log build.

A1D MCP Server

A universal AI server that provides image and video processing tools (background removal, upscaling, vectorization, etc.) for any MCP-compatible client with simple setup.

Notion MCP Server

Enables interaction with Notion databases through the Notion API, supporting full CRUD operations on pages and databases. Supports advanced querying, filtering, sorting, and all property types with Docker deployment for easy integration with Cursor and Claude.

MCP Waifu Queue

Sebuah server MCP yang mengimplementasikan karakter 'waifu' AI percakapan menggunakan layanan pembuatan teks dengan antrian Redis dan akselerasi GPU.

mcp-ytTranscript

Tentu, berikut adalah deskripsi sederhana untuk server MCP (Minimal Complete and Verifiable) yang mengembalikan transkripsi video YouTube menggunakan URL dan bahasa yang diinginkan: **Deskripsi:** Server MCP ini menerima URL video YouTube dan kode bahasa sebagai input. Server kemudian menggunakan URL tersebut untuk mengambil video YouTube, mengekstrak transkripsi (jika tersedia), dan mengembalikan transkripsi dalam bahasa yang ditentukan. Jika transkripsi tidak tersedia dalam bahasa yang diminta, server dapat mencoba menerjemahkan transkripsi yang ada ke bahasa yang diinginkan (jika memungkinkan) atau mengembalikan pesan kesalahan. **Input:** * **URL Video YouTube:** URL lengkap video YouTube yang ingin ditranskripsikan. * **Kode Bahasa:** Kode bahasa ISO 639-1 dua huruf (misalnya, "en" untuk bahasa Inggris, "id" untuk bahasa Indonesia). **Output:** * **Transkripsi:** Teks transkripsi video dalam bahasa yang diminta. * **Pesan Kesalahan:** Jika transkripsi tidak tersedia atau terjadi kesalahan selama proses, server akan mengembalikan pesan kesalahan yang sesuai. **Contoh Alur Kerja:** 1. Pengguna mengirimkan permintaan ke server dengan URL video YouTube dan kode bahasa. 2. Server mengambil video YouTube menggunakan URL yang diberikan. 3. Server memeriksa apakah transkripsi tersedia dalam bahasa yang diminta. 4. Jika transkripsi tersedia, server mengembalikannya ke pengguna. 5. Jika transkripsi tidak tersedia, server mencoba menerjemahkan transkripsi yang ada ke bahasa yang diminta (opsional). 6. Jika terjemahan berhasil, server mengembalikannya ke pengguna. 7. Jika transkripsi tidak tersedia dan terjemahan gagal, server mengembalikan pesan kesalahan. **Catatan:** * Implementasi sebenarnya dari server ini akan memerlukan penggunaan pustaka atau API untuk berinteraksi dengan YouTube dan melakukan transkripsi dan terjemahan. * Ketersediaan transkripsi dan kemampuan terjemahan bergantung pada video YouTube tertentu dan dukungan bahasa yang disediakan oleh layanan transkripsi dan terjemahan yang digunakan. * Server ini harus menangani kesalahan dengan baik dan memberikan pesan kesalahan yang informatif kepada pengguna. Semoga deskripsi ini membantu!

AI Video Generator MCP Server

Server Protokol Konteks Model yang memungkinkan pembuatan video dari perintah teks dan/atau gambar menggunakan model AI (Luma Ray2 Flash dan Kling v1.6 Pro) dengan parameter yang dapat dikonfigurasi seperti rasio aspek, resolusi, dan durasi.

Remote MCP Server Authless

A deployable Model Context Protocol server on Cloudflare Workers that doesn't require authentication, allowing tools to be added and used from Cloudflare AI Playground or Claude Desktop.

mcp-jira-stdio

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

Envato Downloader API1

Provides access to download files from Envato Elements platform by URL through the Envato Downloader API.

Asset Price MCP Server

Sebuah server yang menyediakan alat untuk mengambil informasi harga *real-time* untuk berbagai aset termasuk logam mulia dan mata uang kripto, memungkinkan model bahasa untuk mengakses dan menampilkan data harga aset terkini.

Demo MCP Server

A simple demonstration MCP server that provides basic utility tools including dice rolling and number addition functionality. This server serves as a tutorial example for setting up both local and remote MCP servers using FastMCP.

Homelab MCP Server

Enables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.

Semantic Scholar MCP Server

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.

OpenEHR MCP Server

Enables LLMs to interact with OpenEHR electronic health record systems by retrieving clinical archetypes, generating AQL queries from natural language, and executing queries against on-premise EHR databases. Supports OpenEHR Clinical Knowledge Manager integration and custom IIS-hosted EHR APIs for comprehensive medical data access.

Telephony MCP Server

Enables LLM applications to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and customizable voice parameters.

MCP Geo Location Demo

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Asterisk S2S MCP Server

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

Omi Memories MCP Server

Server Protokol Konteks Model yang memungkinkan akses ke memori Omi dari akun pengguna tertentu melalui antarmuka alat.

A2A Registry

Provides a unified registry for discovering and managing agents that implement the A2A (Agent-to-Agent) protocol, enabling registration, querying, and CRUD operations on agent metadata through both REST API and MCP tools.

MCP FastMCP Demo Server

A simple demonstration MCP server built with FastMCP that provides basic functionality including an addition tool, dynamic greeting resources, and user greeting prompts over STDIO.

Obsidian MCP Server

Enables natural language interaction with Obsidian vaults, supporting intelligent search, note CRUD operations, backlink analysis, and advanced knowledge management tools like narrative path generation and note cluster detection.

MCP MySQL Server

A tool service that enables AI agents to interact with MySQL databases through natural language, supporting SQL queries, table structure retrieval, and connection testing.

Lspace MCP Server

An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.

SMU Schedule MCP Server

Enables management and querying of Sangmyung University schedules, meal plans, notices, and exam information through a MySQL database connection with timezone-aware operations.