MCP Sunucuları

A collection of Apple-native tools exposed through the Model Context Protocol, letting AI assistants work with built-in macOS apps. Provides access to Messages, Notes, Contacts, Calendar, Reminders, Mail, and Maps so agents can send messages, create notes and events, and look up contacts directly on a Mac.

Mapbox's official Model Context Protocol server, giving AI agents access to Mapbox's geospatial APIs. Supports forward and reverse geocoding, routing and directions, isochrone and matrix travel-time computation, and static map image generation, so assistants can answer location questions and build map-driven workflows from natural language.

Aqua Security's Trivy plugin that runs as a Model Context Protocol server, exposing Trivy's scanning capabilities to AI assistants. Scans container images, filesystems, and repositories for vulnerabilities, misconfigurations, exposed secrets, and license issues, returning structured findings agents can triage and act on.

Square's Model Context Protocol server (by Block), giving AI agents access to the Square API. Supports working with payments, orders, catalog items, customers, and inventory, so assistants can look up sales data, manage a catalog, and automate commerce operations for a Square account.

A lightweight Model Context Protocol server for Spotify that lets AI assistants control playback and manage playlists through the Spotify Web API. Agents can search tracks, albums, and artists, start or pause playback, queue tracks, and create or update playlists on behalf of the authenticated user.

The official MCP reference and test server demonstrates tools, resources, prompts, sampling, and protocol capabilities for MCP client development.

The official Azure MCP Server brings Microsoft Azure to AI agents. It lets models query and manage Azure resources through natural language — Storage blobs and tables, Cosmos DB, Azure SQL, Key Vault, Monitor/Log Analytics (KQL), App Configuration, and more — and run Azure CLI commands, enabling cloud automation and infrastructure workflows directly from your tools.

Provides HTTP request capabilities through the Model Context Protocol. Enables AI agents to fetch web content, retrieve API responses, and download resources from URLs. Supports converting HTML to Markdown for easier consumption and can handle various content types including JSON, text, and binary data.

Model Context Protocol üzerinden yerel dosya sistemine güvenli erişim sağlar. AI agent'ların yapılandırılabilir erişim sınırlarıyla dosya ve dizinleri okumasına, yazmasına, aramasına ve yönetmesine olanak tanır. Dosya içeriği okuma, dizin oluşturma, dosya taşıma ve glob desenleriyle aramayı destekler.

Reference MCP server for Git repository operations. Provides tools to read, search, and manipulate Git repositories including viewing commit history, diffs, branches, file contents at specific revisions, and repository status. Enables AI agents to understand code changes and navigate version history without direct filesystem access.

Provides persistent memory capabilities through a knowledge graph stored in a local JSON file. Enables AI agents to create, read, update, and delete entities and their relationships. Useful for maintaining context across conversations, storing user preferences, and building structured knowledge bases that persist between sessions.

MCP server for Redis key-value store interaction. Enables AI agents to read and write data in Redis, manage keys, work with data structures (strings, hashes, lists, sets), and perform pub/sub operations. Useful for caching, session management, real-time data, and inter-service communication in distributed systems.

Provides a structured sequential thinking tool through the Model Context Protocol. Enables AI agents to break down complex problems into numbered thought steps, revise previous thoughts, branch into alternative paths, and adjust the total number of steps dynamically. Useful for multi-step reasoning, planning, and analysis tasks that benefit from explicit step-by-step thinking.

MCP server for SQLite database interaction and business intelligence. Enables AI agents to query SQLite databases, create and modify tables, run analytical queries, and generate insights from data. Supports read-write operations with transaction safety and provides schema introspection for understanding database structure.

Reference MCP server providing time and timezone conversion capabilities. Enables AI agents to get the current time in any timezone, convert between timezones, calculate time differences, and format dates. Useful for scheduling, international coordination, and any task requiring accurate time awareness.

AI prompt'larına kütüphaneler, framework'ler ve SDK'lar için güncel ve sürüme özgü dokümantasyon ile kod örnekleri ekler. Context7, eski olabilecek eğitim verileri yerine güncel dokümantasyonu doğrudan kaynaktan getirir. React, Next.js, Node.js ve Python paketleri dahil binlerce kütüphaneyi destekler.

Microsoft's official Playwright MCP server that provides browser automation capabilities for AI agents. Enables navigating web pages, clicking elements, filling forms, taking screenshots, and extracting content. Supports headless and headed modes with Chromium, Firefox, and WebKit browsers. Ideal for web testing, scraping, and interactive browsing tasks.

AI araçlarını doğrudan GitHub platformuna bağlayan resmî GitHub MCP Sunucusu. AI agent'ların repository'leri, issue'ları, pull request'leri, branch'leri, dosyaları, GitHub Actions iş akışlarını ve kod güvenliğini yönetmesini sağlar. OAuth ile uzak modu ve ayrıntılı toolset yapılandırmasıyla Docker veya binary üzerinden yerel modu destekler.

Provides access to AWS documentation and service information through the Model Context Protocol. Enables AI agents to search AWS documentation, retrieve service descriptions, look up API references, and find best practices for AWS services. Part of the official AWS Labs MCP servers collection with multiple AWS-focused servers available.

Official OpenAI MCP server for integrating GPT models, DALL-E, and Whisper into agentic workflows. Provides tools for chat completion, image generation, audio transcription, and embeddings through the Model Context Protocol. Supports function calling, structured outputs, and streaming responses.

Enables AI agents to interact with Amazon Web Services through the Model Context Protocol. Provides access to core AWS services including S3, Lambda, DynamoDB, CloudWatch, and IAM. Supports resource discovery, log analysis, and infrastructure management with proper credential handling and region awareness.