MCP Sunucuları
Model Context Protocol sunucuları için açık kayıt. AI agent'larınız için doğru araçları, kaynakları ve prompt'ları kategori, taşıma yöntemi veya kullanım alanına göre bulun.
Bazı açıklamalar otomatik çevrilmiş pilot içeriklerdir ve henüz editör tarafından incelenmemiştir.
Sunucular
187
Araçlar
493
Kategoriler
11
Katkıda bulunanlar
164
Official Expo MCP server that connects AI coding assistants to Expo projects and EAS services. Enables searching and reading Expo documentation, managing EAS builds and workflows, installing compatible libraries, inspecting TestFlight crashes and feedback, and automating visual verification through simulator screenshots and interactions. Supports both remote server capabilities and local development server features for advanced automation.
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.
Official Figma MCP server that brings design context directly into AI coding workflows. Provides tools for extracting design information, generating code from Figma selections, taking screenshots, creating and editing Figma files, generating diagrams from Mermaid syntax, searching design systems, managing Code Connect mappings, and uploading assets. Supports both remote (OAuth) and local (desktop app) server modes.
AgentMail MCP gives AI agents secure email operations through hosted MCP access and local stdio bridges for agent-native inbox workflows.
Atlassian's official MCP server provides authenticated access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass workflows.
Microsoft's official MCP server for Azure DevOps. Brings Azure DevOps capabilities to AI agents, including managing work items and boards, browsing Git repositories and pull requests, querying builds and pipelines, and accessing wikis and test plans. Lets teams drive their Azure DevOps workflows through natural language from MCP-compatible tools.
Directus' MCP integration connects agents to headless CMS data, schemas, and operations for governed content and application workflows.
Official MCP server backed by the Kagi API. Exposes Kagi's high-quality search and summarization tools to MCP-compatible clients, including web search and the Universal Summarizer for pages and videos. Useful for research workflows that want ad-free, privacy-respecting results with concise summaries. Requires a Kagi API key.
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.
Google's MCP Toolbox provides secure, ready-made and custom tools for database queries, schema operations, and semantic search in agent workflows.
Popular community MCP server that gives AI assistants deep knowledge of n8n's workflow automation nodes, their properties, and operations, and can connect to a live n8n instance to create and manage workflows. Helps agents design, validate, and deploy automations correctly by exposing node documentation, validation, and workflow management tools.
Postman's official MCP server that connects the Postman platform to AI tools. Gives agents the ability to access workspaces, manage collections and environments, work with API specifications, run requests, and automate API workflows through natural language. Useful for exploring, testing, and maintaining APIs directly from an MCP-compatible assistant.
Prisma's official MCP server that lets AI tools manage Prisma ORM projects and Prisma Postgres databases through natural language. Provides both a local server for working with a project's Prisma schema and migrations, and a remote server for provisioning and managing Prisma Postgres databases. Useful for scaffolding models, generating and applying migrations, and running database workflows from an AI coding assistant.
Skills ve MCP sunucuları
aralarındaki fark nedir?Skills“ne yapılacağı”
Bir Skill; talimatları, örnek prompt'u ve önerilen modelleri paketleyerek agent'ın görevi tutarlı şekilde yapmasını sağlar. Skills yeni bağlantılar değil, bilgi ekler.
MCP sunucuları“nasıl bağlanılacağı”
Bir MCP sunucusu, gerçek sistemlere (veritabanları, API'ler ve dosyalar) bir taşıma yöntemi üzerinden bağlanarak agent'a yeni yetenekler kazandırır. MCP görev talimatları değil, bağlantılar ve eylemler ekler.
Kısa kural: modelin bir görevi iyi yapması gerekiyorsa Skill, bir araca veya sisteme erişmesi gerekiyorsa MCP sunucusu kullanın. Birlikte çalışabilirler; Skill, MCP sunucusunun sunduğu araçlardan yararlanabilir.
Bir MCP sunucusu mu geliştirdiniz?
Açık kaynaklı ve topluluk tarafından sürdürülen kayda ekleyin.