Discover Awesome MCP Servers

Nexus MCP Server

A production-ready Model Context Protocol server that brings AI-powered web search directly into development environments, providing intelligent search results with proper citations in Claude Desktop, Cursor, or any MCP-compatible client.

Laravel MCP (Model Context Protocol)

Paket untuk mengembangkan Server MCP dengan Laravel.

Microsoft MCP

Enables AI assistants to interact with Microsoft Graph API services including Outlook email, Calendar events, OneDrive files, and Contacts. Supports multiple Microsoft accounts with unified search across all services.

ARC Config MCP Server

Enables natural language management of GitHub Actions Runner Controller (ARC) in Kubernetes clusters. Supports automated installation, scaling, monitoring, and troubleshooting of GitHub Actions runners through conversational AI commands.

mcp-server-google-cloud-logging

Berikut adalah cara mengambil log dari Logging menggunakan gcloud: **1. Menggunakan perintah `gcloud logging read`** Perintah `gcloud logging read` adalah cara paling umum untuk mengambil log. * **Sintaks dasar:** ```bash gcloud logging read [FILTER] [OPTIONS] ``` * **Contoh:** * **Mengambil semua log terbaru:** ```bash gcloud logging read ``` * **Mengambil log yang cocok dengan filter tertentu:** ```bash gcloud logging read "resource.type=gce_instance AND severity>=WARNING" ``` (Ini akan mengambil semua log dari instance GCE dengan tingkat keparahan WARNING atau lebih tinggi.) * **Mengambil log dari jangka waktu tertentu:** ```bash gcloud logging read --start-time="2023-10-27T00:00:00Z" --end-time="2023-10-27T12:00:00Z" ``` (Ini akan mengambil log antara tengah malam dan siang hari pada tanggal 27 Oktober 2023.) * **Mengambil log dan menyimpannya ke file:** ```bash gcloud logging read "resource.type=gce_instance" > logs.txt ``` (Ini akan menyimpan semua log dari instance GCE ke file bernama `logs.txt`.) * **Opsi penting:** * `--format`: Menentukan format output (misalnya, `json`, `text`, `yaml`). `text` adalah default. * `--limit`: Membatasi jumlah log yang dikembalikan. * `--start-time`: Menentukan waktu mulai untuk log yang akan diambil. * `--end-time`: Menentukan waktu akhir untuk log yang akan diambil. * `--order`: Menentukan urutan log yang dikembalikan (`asc` untuk menaik, `desc` untuk menurun). Defaultnya adalah `desc`. * `--project`: Menentukan project Google Cloud yang akan digunakan. Jika tidak ditentukan, gcloud akan menggunakan project yang dikonfigurasi secara default. **2. Memahami Filter Log** Filter log sangat penting untuk mengambil log yang Anda butuhkan. Filter menggunakan sintaks khusus untuk menentukan kriteria pencarian. Beberapa contoh: * `resource.type=gce_instance`: Memfilter log dari instance Compute Engine. * `severity>=ERROR`: Memfilter log dengan tingkat keparahan ERROR atau lebih tinggi (CRITICAL, ALERT, EMERGENCY). * `logName="projects/YOUR_PROJECT_ID/logs/YOUR_LOG_NAME"`: Memfilter log dari log tertentu. Ganti `YOUR_PROJECT_ID` dan `YOUR_LOG_NAME` dengan nilai yang sesuai. * `textPayload:"error message"`: Memfilter log yang berisi teks "error message" di payload. Anda dapat menggabungkan filter menggunakan operator `AND` dan `OR`. **3. Menggunakan `gcloud logging tail` untuk Log Streaming** Jika Anda ingin melihat log secara real-time, Anda dapat menggunakan perintah `gcloud logging tail`. * **Sintaks dasar:** ```bash gcloud logging tail [FILTER] [OPTIONS] ``` * **Contoh:** ```bash gcloud logging tail "resource.type=gce_instance" ``` (Ini akan menampilkan log baru dari instance GCE secara real-time.) **4. Menggunakan `gcloud logging export` untuk Mengekspor Log** Untuk menyimpan log ke Cloud Storage, BigQuery, atau tujuan lain, Anda dapat menggunakan perintah `gcloud logging export`. Ini lebih kompleks dan memerlukan konfigurasi sink log. Dokumentasi Google Cloud menyediakan panduan lengkap tentang cara mengekspor log. **Tips Tambahan:** * **Periksa dokumentasi gcloud:** Dokumentasi resmi Google Cloud adalah sumber daya terbaik untuk informasi lengkap dan terkini tentang perintah `gcloud logging`. Anda dapat mengaksesnya dengan menjalankan `gcloud logging --help` atau mengunjungi situs web Google Cloud. * **Gunakan Cloud Logging Query Builder:** Di konsol Google Cloud, Anda dapat menggunakan Query Builder di Cloud Logging untuk membuat filter log secara visual. Ini dapat membantu Anda memahami sintaks filter dan menguji filter Anda sebelum menggunakannya di gcloud. * **Konfigurasi gcloud:** Pastikan Anda telah mengkonfigurasi gcloud dengan benar dan telah memilih project Google Cloud yang benar. Anda dapat melakukan ini dengan perintah `gcloud init` dan `gcloud config set project YOUR_PROJECT_ID`. Dengan mengikuti langkah-langkah ini, Anda dapat dengan mudah mengambil log dari Logging menggunakan gcloud. Ingatlah untuk menyesuaikan filter dan opsi sesuai dengan kebutuhan spesifik Anda.

Telnyx MCP Server

Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.

Garmin MCP Server

Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.

Teams MCP

A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.

GitHub MCP Server

Server MCP resmi GitHub

Infomate MCP

Fetches and provides curated tech news, trending topics, hot GitHub projects, and industry updates from infomate.club/vas3k. Enables users to stay updated with the latest developments in technology and programming through natural language queries.

Kroger MCP Server

A FastMCP server that provides AI assistants like Claude with seamless access to Kroger's grocery shopping functionality through the Model Context Protocol, enabling store finding, product searching, and cart management.

LINE Bot MCP Server

Enables AI agents to send messages, manage rich menus, and interact with users through LINE Official Accounts via the LINE Messaging API. Supports both individual messaging and broadcasting to all followers with text and customizable flex messages.

Doppler MCP Server

Enables secure secrets management through the Doppler CLI via natural language interactions. Supports managing secrets, projects, configs, and environments across different Doppler workspaces.

YouTube MCP

A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.

Remote MCP Server (Authless)

A deployable Model Context Protocol server on Cloudflare Workers that enables custom AI tools without requiring authentication, compatible with Cloudflare AI Playground and Claude Desktop.

Netlify Express MCP Server

A basic example MCP server deployed as a Netlify serverless function using Express. Demonstrates how to run Model Context Protocol servers in a serverless environment with proper routing configuration.

Microsoft Copilot Studio ❤️ MCP

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

MCP-Context-Provider

A static MCP server that helps AI models maintain tool context across chat sessions, preventing loss of important information and keeping conversations smooth and uninterrupted.

OpenTelemetry Documentation MCP Server

Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.

Memento

A local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.

Chainlink MCP Server

Enables interaction with Chainlink's decentralized oracle network, providing access to real-time price feeds, serverless functions, smart contract automation, verifiable randomness, cross-chain messaging, and proof of reserve across multiple blockchain networks.

bnbchain-mcp

bnbchain-mcp

MongoDB MCP Server by CData

MongoDB MCP Server by CData

aster-info-mcp

An MCP server that provides structured access to Aster DEX market data—covering candlesticks, order books, trades, and funding rates.

Playwright Fetch MCP Server

Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.

openai-agents-chat-demo

Demo obrolan agen OpenAI. Integrasi LLM kustom dan server MCP serta alat fungsi.