Discover Awesome MCP Servers

Extend your agent with 58,050 capabilities via MCP servers.

All58,050
Garmin MCP Server

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

weather

Provides weather forecasts, current conditions, and alerts for US locations using the National Weather Service API.

pvwatts-mcp

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

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

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

mcp-server-ngzorro

Enables querying NG-ZORRO (Ant Design for Angular) documentation and examples via GitHub API, providing structured prompts and document retrieval.

LiquidSoapMCP

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

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

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

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-sudo

MCP server for executing sudo commands with encrypted password storage, allowing privileged operations without re-entering credentials.

ABOVO MCP Server

ABOVO MCP Server

Simple and free publishing of content on the web for AI Agents

Frontier Intelligence

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

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

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

Postscript MCP Server

superthread-mcp-extended

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

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

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

business-central-mcp

Give AI assistants direct access to Microsoft Dynamics 365 Business Central via native WebSocket protocol.

video-editor

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

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

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

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

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

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)

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

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

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

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.