Discover Awesome MCP Servers

justdopeshop

Okay, here's the translation of "using cursor and GitHub mcp server" into Indonesian: **Menggunakan kursor dan server GitHub MCP** **Explanation:** * **Menggunakan:** Means "using" * **kursor:** Means "cursor" * **dan:** Means "and" * **server GitHub MCP:** This part is kept as is. It's assumed that "GitHub MCP server" is a specific term or name that's best left untranslated to avoid confusion. If "MCP" is an acronym, it's generally better to keep it as is unless you know the full Indonesian translation of the acronym and it's commonly used. Therefore, the most natural and accurate translation is: **Menggunakan kursor dan server GitHub MCP**

PhonePi MCP

PhonePi MCP memungkinkan integrasi tanpa hambatan antara alat AI desktop dan ponsel cerdas Anda, menyediakan 23+ tindakan langsung termasuk pesan SMS, panggilan telepon, manajemen kontak, pembuatan dan pencarian cuplikan, berbagi papan klip, notifikasi, pemeriksaan status baterai, dan kontrol perangkat jarak jauh.

Coinbase Chat MCP

Provides AI agents with access to real-time cryptocurrency data from Coinbase's public API, including prices, market statistics, historical data, and technical analysis, plus simulated wallet transactions for educational purposes.

Model Context Protocol Python Server

A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.

Random Number MCP

Production-ready MCP server that provides LLMs with essential random generation abilities, including random integers, floats, choices, shuffling, and cryptographically secure tokens.

Prompt-Optimizer-MCP-for-LLMs

A Model Context Protocol (MCP) server that provides intelligent tools for optimizing and scoring LLM prompts using deterministic heuristics.

Confluence MCP Server

Server berbasis FastMCP yang menyediakan integrasi tanpa hambatan dengan REST API Confluence, memungkinkan akses terprogram ke ruang, halaman, dan fungsionalitas pencarian konten Confluence.

OpenAlex MCP Server

Sebuah server MCP (Model Context Protocol) yang terhubung ke OpenAlex API.

Hello Golang MCP

Berikut adalah implementasi server MCP Golang minimal dengan mcp-go: ```go package main import ( "context" "fmt" "log" "net" "os" "os/signal" "syscall" "google.golang.org/grpc" mcp "istio.io/api/mcp/v1alpha1" "istio.io/istio/pkg/mcp/server" "istio.io/istio/pkg/mcp/testing" ) const ( port = 18000 ) // SimpleSource implements the Source interface. type SimpleSource struct { // Resources to return. Resources map[string][]testing.Resource } // GetResources implements the Source interface. func (s *SimpleSource) GetResources(typeName string) ([]testing.Resource, error) { return s.Resources[typeName], nil } // GenerateSnapshot implements the Source interface. func (s *SimpleSource) GenerateSnapshot(versions map[string]string) (map[string]*mcp.Resources, error) { snapshot := map[string]*mcp.Resources{} for typeURL, resources := range s.Resources { res := &mcp.Resources{ VersionInfo: "1", // Simple version } for _, r := range resources { res.Resources = append(res.Resources, r.Resource) } snapshot[typeURL] = res } return snapshot, nil } // Watch implements the Source interface. func (s *SimpleSource) Watch(ctx context.Context, typeURL string, sink chan server.Event) error { // In a real implementation, this would watch for changes and send events to the sink. // For this example, we just send a single event with the current snapshot. snapshot, err := s.GenerateSnapshot(nil) if err != nil { return err } sink <- server.Event{ FullSync: true, Deltas: snapshot, } return nil } func main() { // Create a listener on TCP port lis, err := net.Listen("tcp", fmt.Sprintf(":%d", port)) if err != nil { log.Fatalf("failed to listen: %v", err) } // Create a gRPC server object s := grpc.NewServer() // Create a simple source with some example resources source := &SimpleSource{ Resources: map[string][]testing.Resource{ "type.googleapis.com/google.protobuf.StringValue": { { Name: "resource1", Resource: testing.CreateResource("resource1", "type.googleapis.com/google.protobuf.StringValue", []byte(`"value1"`)), }, { Name: "resource2", Resource: testing.CreateResource("resource2", "type.googleapis.com/google.protobuf.StringValue", []byte(`"value2"`)), }, }, }, } // Create the MCP server mcpServer := server.New(source) // Register the MCP server with the gRPC server mcp.RegisterAggregatedMeshConfigServiceServer(s, mcpServer) // Serve gRPC server log.Printf("server listening at %v", lis.Addr()) // Graceful shutdown sigCh := make(chan os.Signal, 1) signal.Notify(sigCh, os.Interrupt, syscall.SIGTERM) go func() { if err := s.Serve(lis); err != nil { log.Fatalf("failed to serve: %v", err) } }() <-sigCh log.Println("Shutting down gracefully...") s.GracefulStop() log.Println("Server stopped") } ``` **Penjelasan:** 1. **Import Packages:** Mengimpor paket-paket yang diperlukan, termasuk `mcp-go` dan paket-paket standar Go. 2. **`SimpleSource` struct:** Mengimplementasikan interface `Source` dari `mcp-go`. Interface ini mendefinisikan bagaimana server MCP mendapatkan dan menyediakan sumber daya. * `GetResources`: Mengembalikan daftar sumber daya untuk tipe tertentu. Dalam implementasi ini, sumber daya disimpan dalam `Resources` map. * `GenerateSnapshot`: Membuat snapshot dari sumber daya saat ini. Snapshot berisi versi dari setiap tipe sumber daya dan daftar sumber daya itu sendiri. * `Watch`: Memantau perubahan pada sumber daya dan mengirimkan event ke sink. Dalam contoh ini, hanya mengirimkan satu event dengan snapshot awal. Implementasi yang lebih kompleks akan memantau perubahan dan mengirimkan event delta. 3. **`main` function:** * **Listen:** Membuat listener TCP pada port yang ditentukan (18000). * **gRPC Server:** Membuat instance server gRPC. * **`SimpleSource` Instance:** Membuat instance `SimpleSource` dan mengisinya dengan beberapa sumber daya contoh. Sumber daya ini adalah `StringValue` dari `google.protobuf`. * **MCP Server:** Membuat instance server MCP menggunakan `server.New(source)`. * **Register Server:** Mendaftarkan server MCP dengan server gRPC menggunakan `mcp.RegisterAggregatedMeshConfigServiceServer(s, mcpServer)`. * **Serve:** Memulai server gRPC untuk melayani permintaan. * **Graceful Shutdown:** Menangani sinyal `SIGINT` dan `SIGTERM` untuk mematikan server secara anggun. **Cara menjalankan:** 1. **Pastikan Anda memiliki Go terinstal:** Unduh dan instal Go dari [https://go.dev/dl/](https://go.dev/dl/). 2. **Instal `mcp-go`:** ```bash go get istio.io/istio/pkg/mcp go get istio.io/api/mcp/v1alpha1 ``` 3. **Simpan kode:** Simpan kode di atas sebagai file `main.go`. 4. **Jalankan:** ```bash go run main.go ``` Server akan mulai berjalan di port 18000. **Cara menguji:** Anda dapat menggunakan alat seperti `grpcurl` untuk menguji server MCP. Berikut adalah contoh perintah untuk mengambil sumber daya: ```bash grpcurl -plaintext -d '{"type_url": "type.googleapis.com/google.protobuf.StringValue"}' localhost:18000 istio.mcp.v1alpha1.AggregatedMeshConfigService/StreamAggregatedResources ``` Perintah ini akan mengirimkan permintaan ke server MCP untuk sumber daya dengan tipe `type.googleapis.com/google.protobuf.StringValue`. Server akan merespons dengan daftar sumber daya yang dikonfigurasi dalam `SimpleSource`. **Catatan:** * Ini adalah implementasi minimal dan tidak menangani semua aspek server MCP yang lengkap. * Implementasi `Watch` hanya mengirimkan snapshot awal. Implementasi yang lebih kompleks akan memantau perubahan dan mengirimkan event delta. * Kode ini menggunakan sumber daya contoh. Anda perlu mengganti ini dengan sumber daya yang sesuai dengan kebutuhan Anda. * Anda perlu menginstal `grpcurl` untuk menguji server. Anda dapat menginstalnya menggunakan `go install github.com/fullstorydev/grpcurl/cmd/grpcurl@latest`. Kode ini memberikan dasar untuk membangun server MCP Golang menggunakan `mcp-go`. Anda dapat memperluasnya untuk mendukung lebih banyak tipe sumber daya, implementasi `Watch` yang lebih canggih, dan fitur-fitur lain yang diperlukan.

Agent Communication MCP Server

Enables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.

LINE Bot MCP Server

Server MCP yang mengintegrasikan LINE Messaging API untuk menghubungkan Agen AI ke Akun Resmi LINE.

MCP Vulnerability Checker Server

A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.

pure.md MCP server

Sebuah server MCP yang memungkinkan klien AI seperti Cursor, Windsurf, dan Claude Desktop untuk mengakses konten web dalam format markdown, menyediakan kemampuan membuka blokir web dan pencarian.

Weather MCP Server

Enables real-time weather queries for cities worldwide using Open-Meteo API. Provides 7-day forecasts with detailed information including temperature, wind, humidity, precipitation, and comfort level assessments in both Chinese and English.

Time MCP Server

Provides time and timezone functionality for LLMs, enabling them to get current time information across different timezones and convert times between zones.

YouTube Analytics MCP Server by CData

This read-only MCP Server allows you to connect to YouTube Analytics data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

MCP_Servers

Repositori ini menawarkan server MCP untuk berbagai tujuan, yang bertujuan untuk mendukung pengembang yang ingin membangun sistem serupa.

Multichain MCP Server

Sebuah perangkat lengkap untuk membangun agen AI dengan kemampuan blockchain, memungkinkan interaksi dengan berbagai jaringan blockchain untuk tugas-tugas seperti manajemen dompet, transfer dana, interaksi kontrak pintar, dan penghubung aset lintas rantai.

MCP OpenAPI Proxy

A tool that accelerates MCP protocol adoption by automatically generating MCP-compatible server components from OpenAPI specifications, enabling seamless integration with existing services as a sidecar.

Excel Finance MCP

Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.

Remote MCP Server for Cloudflare

A deployable server that implements the Model Context Protocol (MCP) on Cloudflare Workers, enabling integration of custom tools with AI assistants like Claude without requiring authentication.

Dedalus MCP Documentation Server

Enables serving and querying documentation with AI capabilities, allowing users to search, ask questions, and get AI-powered answers from their documentation files. Built for seamless deployment on the Dedalus platform with OpenAI integration for enhanced document analysis.

Heroku MCP server

Okay, I understand. You want me to translate the following sentence from English to Indonesian: "Let your agent access the Heroku platform." Here's the translation: **"Izinkan agen Anda mengakses platform Heroku."** Here are a few other possible translations, depending on the specific nuance you want to convey: * **"Berikan akses ke platform Heroku kepada agen Anda."** (This emphasizes giving access.) * **"Biarkan agen Anda mengakses platform Heroku."** (This is a more literal translation of "let.") * **"Aktifkan akses agen Anda ke platform Heroku."** (This implies enabling or activating access.) The best choice depends on the context. "Izinkan agen Anda mengakses platform Heroku" is generally a good and natural-sounding translation.

MySQL Server

Server ini memungkinkan model AI untuk berinteraksi dengan database MySQL melalui antarmuka yang terstandarisasi.

PowerShell MCP Server

A Model Context Protocol server that enables AI assistants to execute PowerShell commands, retrieve system information, manage modules, and run scripts on Windows systems.

Wireshark MCP Server

Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling AI-powered network troubleshooting, packet analysis, and network monitoring through a secure interface.

RISEN Prompt Engineering MCP Tool

A Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).

MCP OpenFoodTox

Enables natural language querying of EFSA's OpenFoodTox database containing 8,006 chemical substances with toxicity data, safety assessments, risk limits, and genotoxicity studies for food additives, pesticides, and contaminants.