Discover Awesome MCP Servers
Extend your agent with 58,050 capabilities via MCP servers.
- All58,050
- 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
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.
weather
Provides weather forecasts, current conditions, and alerts for US locations using the National Weather Service API.
pvwatts-mcp
Enables solar energy potential assessment by converting parcel centroid and acreage into annual/monthly generation estimates using the NREL PVWatts v8 API, suitable for revenue modeling and infographic headlines.
mcp-canon
Universal MCP knowledge server for LLM agents, powered by local RAG, providing domain-specific best practices and playbooks across software engineering, marketing, video editing, and other knowledge areas.
ZIP MCP
A powerful ZIP file processing tool that enables creating, extracting, listing, adding, deleting, viewing, and verifying ZIP files through MCP protocol integration with AI development environments.
mcp-server-ngzorro
Enables querying NG-ZORRO (Ant Design for Angular) documentation and examples via GitHub API, providing structured prompts and document retrieval.
LiquidSoapMCP
Provides AI assistants with version-accurate Liquidsoap 2.4.0 documentation, examples, and script validation to generate correct Liquidsoap code and avoid hallucinations.
DOS Kernel
The kernel that doesn't believe the agents — a domain-free trust substrate for fleets of autonomous agents: verify what shipped, arbitrate collisions, refuse with structured reasons.
mcp-qobuz
AI-native MCP server for Qobuz that enables searching, browsing, and managing your music library, including favorites, playlists, and current playback.
ulu-voi-mcp
Provides curated, meaningful information about Voi ecosystem protocols, applications, assets, and names, enabling identification and search through natural language.
mcp-sudo
MCP server for executing sudo commands with encrypted password storage, allowing privileged operations without re-entering credentials.
ABOVO MCP Server
Simple and free publishing of content on the web for AI Agents
Frontier Intelligence
A personal monitoring and trend synthesis system that collects signals from multiple sources, processes them through LangChain/GigaChat, stores them in vector and knowledge graphs, and delivers insights via MCP to Codex/Claude projects with workspace isolation.
Zeplin MCP Server
Connects AI agents to Zeplin to access component and screen specs, documentation, and design tokens for generating UI code that matches designs.
Ecomm MCP Server
Enables product search and retrieval from e-commerce APIs, returning markdown-formatted product listings with clickable links and prices for easy shopping assistance.
Postscript MCP Server
superthread-mcp-extended
An enhanced MCP server for Superthread with comprehensive CRUD operations and optimized workflows, acting as a drop-in replacement with more functionality.
blender-mcp-enhanced
Connects Blender to Claude AI through the Model Context Protocol for AI-assisted 3D modeling, procedural geometry creation, and persistent multi-turn workflows with shared context and advanced tool chaining.
mcpwall
mcpwall is a deterministic security proxy for MCP tool calls — iptables for MCP. It sits between the MCP client and server, intercepting every JSON-RPC request and enforcing YAML-defined policies.
business-central-mcp
Give AI assistants direct access to Microsoft Dynamics 365 Business Central via native WebSocket protocol.
video-editor
An MCP server that enables natural language video editing using FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking.
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.
ENSP-MCP AI
Enables AI clients to manage Huawei eNSP simulated network devices, execute CLI commands, apply configurations, and perform network diagnostics through natural language, with topology upload and visualization via a web UI.
proxmox-mcp
A Python MCP server for Proxmox VE that lets AI agents read cluster status, power guests on/off, and provision new VMs/containers through natural language, while preventing any destructive actions.
Device MCP Server
A comprehensive MCP server for network device management via SSH/Telnet. Supports multiple vendors such as Cisco IOS and BDCOM, enabling AI assistants to execute commands and manage routers, switches, and firewalls.
flightlog
An MCP server that indexes Claude Code conversation history into SQLite, enabling full-text search across past sessions for context recovery and cross-agent observability.
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.
VS Claude
MCP server that integrates with VS Code to enable file operations, git diffs, and line highlighting via MCP clients like Claude.
Chat Human MCP Server
Enables AI agents to send messages to human users via chat platforms (currently Discord) and optionally wait for human responses, facilitating human-in-the-loop interactions.
Academic MCP
Enables AI tools to search and retrieve data from various South Korean and Japanese academic databases, including research journals, historical records, and legislative information.