Discover Awesome MCP Servers

design-copier

Captures webpage styles and HTML, converts CSS to Tailwind, and applies extracted designs to frontend frameworks like React.

agentic-patterns

Exposes the Agentic Patterns Catalog as MCP resources and tools for AI coding agents to search, retrieve, and recommend patterns, recipes, frameworks, methodologies, and anti-patterns.

VideoGen Advisor

A unified MCP server for video generation that intelligently routes requests to HeyGen (for avatar/presenter videos) or Google Veo (for creative/cinematic content).

ucon-mcp

Verified unit conversion and dimensional analysis for AI agents. 190+ units, 31 domain formulas (clinical, physics, aerospace, SRE), physical constants with uncertainty propagation. Refuses invalid conversions structurally: the tool that won't convert mg to mL and knows the difference between torque and energy.

flutterclimcp

Tentu, berikut adalah contoh proyek menyenangkan untuk membuat proyek Flutter menggunakan Flutter CLI MCP (Model Context Protocol) Server: **Judul Proyek:** **"Koleksi Meme Lucu"** **Deskripsi:** Aplikasi ini akan menampilkan koleksi meme lucu yang diambil dari server MCP. Pengguna dapat menjelajahi meme, menyukai meme, dan bahkan mengunggah meme mereka sendiri (opsional). **Fitur:** * **Tampilan Daftar Meme:** Menampilkan daftar meme dengan gambar, judul, dan jumlah suka. * **Detail Meme:** Menampilkan meme dalam ukuran penuh dengan deskripsi dan tombol suka. * **Fungsi Suka:** Pengguna dapat menyukai meme. * **Unggah Meme (Opsional):** Pengguna dapat mengunggah meme mereka sendiri ke server. * **Pencarian Meme (Opsional):** Pengguna dapat mencari meme berdasarkan kata kunci. **Teknologi:** * **Flutter:** Untuk antarmuka pengguna (UI) dan logika aplikasi. * **Flutter CLI:** Untuk membuat dan mengelola proyek Flutter. * **MCP Server:** Untuk menyimpan dan menyediakan data meme (gambar, judul, deskripsi, jumlah suka). Anda dapat menggunakan server MCP yang sudah ada atau membuat server MCP sederhana sendiri menggunakan Node.js, Python, atau bahasa lain yang Anda kuasai. * **HTTP Client (misalnya `http` package di Flutter):** Untuk berkomunikasi dengan server MCP. **Langkah-langkah:** 1. **Siapkan Server MCP:** * Buat server MCP sederhana yang dapat menyimpan dan menyediakan data meme. * Server harus memiliki endpoint untuk: * Mendapatkan daftar meme. * Mendapatkan detail meme berdasarkan ID. * Menambah jumlah suka pada meme. * (Opsional) Menerima unggahan meme baru. * Pastikan server dapat merespon dengan format JSON. 2. **Buat Proyek Flutter:** * Buka terminal/command prompt. * Jalankan perintah: `flutter create meme_collection` * Masuk ke direktori proyek: `cd meme_collection` 3. **Implementasikan UI:** * Buat UI untuk menampilkan daftar meme. Gunakan `ListView.builder` untuk menampilkan daftar meme dari data yang diambil dari server MCP. * Buat UI untuk menampilkan detail meme. * Tambahkan tombol suka pada detail meme. 4. **Implementasikan Logika Aplikasi:** * Gunakan `http` package untuk berkomunikasi dengan server MCP. * Buat fungsi untuk: * Mengambil daftar meme dari server. * Mengambil detail meme berdasarkan ID. * Mengirim permintaan suka ke server. * (Opsional) Mengirim permintaan unggah meme ke server. * Panggil fungsi-fungsi ini dari UI untuk menampilkan data dan menangani interaksi pengguna. 5. **Uji dan Debug:** * Jalankan aplikasi di emulator atau perangkat fisik. * Uji semua fitur dan pastikan semuanya berfungsi dengan benar. * Debug jika ada kesalahan. **Tips Tambahan:** * **Gunakan State Management:** Pertimbangkan untuk menggunakan state management seperti Provider, BLoC, atau Riverpod untuk mengelola state aplikasi dengan lebih baik. * **Tambahkan Animasi:** Tambahkan animasi untuk membuat aplikasi lebih menarik. * **Gunakan Library UI:** Gunakan library UI seperti `flutter_staggered_grid_view` untuk membuat tampilan daftar meme yang lebih menarik. * **Fokus pada Desain:** Buat desain UI yang menarik dan mudah digunakan. **Mengapa Proyek Ini Menyenangkan?** * **Relevan:** Meme adalah bagian dari budaya internet yang populer. * **Kreatif:** Anda dapat berkreasi dengan desain UI dan fitur aplikasi. * **Praktis:** Anda akan belajar cara berkomunikasi dengan server MCP dan mengelola data dari server. * **Dapat Dikembangkan:** Anda dapat menambahkan fitur-fitur baru seperti pencarian meme, kategori meme, atau integrasi dengan media sosial. Proyek ini adalah contoh yang bagus untuk belajar cara menggunakan Flutter CLI dan berinteraksi dengan server MCP. Selamat mencoba!

Python Code Runner

Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.

Casper Network MCP Server

Enables interaction with the Casper Network blockchain via MCP, providing tools for wallet creation, CSPR transfers, staking/delegation, and account queries.

ddg-mcp-search

A minimal MCP server that provides a DuckDuckGo search tool with configurable region, time limit, and safe search options.

Cloudflare Playwright MCP

Enables AI assistants to perform web automation tasks such as navigation, typing, clicking, and taking screenshots using Playwright on Cloudflare Workers. This server allows LLMs to interact with and control a browser across platforms like Claude Desktop and GitHub Copilot.

Security MCP Server

Enables security scanning of codebases through integrated tools for secret detection, SCA, SAST, and DAST vulnerabilities, with AI-powered remediation suggestions based on findings.

Document Tools

Enables document conversion and processing through an MCP server interface for AI assistants.

Echo

Enables an AI with persistent consciousness through a dual-layer architecture using Neo4j and Google Gemini, allowing natural communication, learning, and personality development.

Fintom8 E-Invoice MCP Server

Enables autonomous agents to validate, audit, and correct e-invoices against European standards (EN16931) and Peppol regulations.

Medicare MCP Server

Provides comprehensive access to CMS Medicare data including physician services, prescriber information, hospital quality metrics, drug spending, formulary coverage, and ASP pricing for healthcare analysis and decision-making.

mcp-taskwarrior-ai

An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.

import-guardian

Scans generated JavaScript/TypeScript code to detect AI-hallucinated or suspicious npm package imports before installation, providing a verdict of CLEAN, REVIEW, or BLOCK.

github-insight-mcp

Combines GitHub repository analysis, npm/PyPI package info, and deps.dev security advisories into a single MCP server, requiring no API keys.

MCP Docs Server

Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.

JSON MCP Server

Provides powerful JSON manipulation tools through Model Context Protocol, enabling complex queries, schema generation, and validation with jq notation and native Node.js operations.

mcp-instagram-dm

MCP server for Instagram Direct Messages. Read inbox, send messages, search conversations, react to messages, manage pending requests, and more. 15 tools with cookie-based authentication.

Nervora

A secure MCP gateway for enterprise AI tool execution, enabling governed invocation of business tools with authentication, RBAC, audit logging, PII redaction, and async processing.

Docker MCP Server

Enables AI assistants to interact with Docker containers through safe, permission-controlled access to inspect, manage, and diagnose containers, images, and compose services with built-in timeouts and AI-powered analysis.

mindpad MCP

Enables AI assistants to save encrypted notes to a mindpad account using natural language, with support for tags and end-to-end privacy.

mcp-emtrafesa

Enables AI assistants to access Emtrafesa bus transportation services in Peru, including querying terminals, schedules, tickets, and FAQs.

AutoSOC Agent

An automated security operations center MCP server that uses LLMs and network analysis tools like Tshark to detect threats in traffic data. It enables users to automatically ingest PCAP files, query specific packets, and generate intelligent security analysis reports.

DashWebMCP

Enables AI agents to interact with Dash dashboards by exposing them as MCP servers via a WebSocket bridge, with automatic tool registration and human-in-the-loop confirmation.

Google Tag Manager MCP Server

Integrates Google Tag Manager with Claude to automate the creation and management of tags, triggers, and variables using natural language prompts. It provides specialized tools for GA4 and Facebook Pixel setup, along with automated tracking workflows for ecommerce and lead generation sites.

Veris

Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.

Wave MCP Server

MCP server for Wave accounting that provides tools for managing chart of accounts, invoices, customers, vendors, products, and reports via the Wave GraphQL API.

GraphSense MCP Server

Enables natural language queries about JavaScript/TypeScript codebases using graph and vector search. Allows finding functions by semantic description, callers, callees, and function details.