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
Brave Search API ve Model Context Protocol üzerinden kapsamlı arama yetenekleri sunar. AI agent'ların web, yerel işletme, görüntü, video ve haber aramaları yapmasına ve AI özetleri oluşturmasına olanak tanır. STDIO ve HTTP taşıma yöntemlerini destekler.
Official MCP server for Meilisearch, the open-source, lightning-fast search engine. Enables MCP-compatible clients to manage search indexes, add and update documents, run searches, and adjust index settings through natural language. Useful for building and debugging search experiences and for letting agents query application data stored in Meilisearch.
Official Elastic MCP server that connects AI agents to Elasticsearch data using the Model Context Protocol. Enables natural language interactions with Elasticsearch indices — querying, analyzing, and retrieving data without custom APIs. Supports both stdio and streamable-HTTP transports, and works with Elasticsearch 8.x/9.x clusters including Elasticsearch Serverless. Distributed as a Docker container image from the Elastic registry.
The official OpenSearch Model Context Protocol server, enabling AI assistants to interact with OpenSearch clusters. Lets agents list indices, inspect mappings, run search and aggregation queries, and read basic cluster health so they can explore and analyze data stored in OpenSearch through natural language.
MCP server for Exa's neural search API. Provides AI agents with powerful web search capabilities using embeddings-based semantic search. Returns clean, parsed content from web pages with relevance scoring. Supports filtering by domain, date range, and content type for precise information retrieval from the internet.
MCP server for Atlassian Confluence that lets AI agents search the knowledge base, read and create pages, update content, and navigate spaces. Useful for grounding answers in internal documentation and for drafting or maintaining wiki content directly from an AI client.
Official MCP server for the Perplexity API Platform. Provides AI agents with real-time web search, deep research, and advanced reasoning capabilities through Sonar models. Includes tools for quick web search, conversational Q&A with citations, comprehensive deep research reports, and complex analytical reasoning. Returns answers with source attribution and supports configurable timeouts for long research queries.
MCP server for Tavily's AI-optimized search engine. Designed specifically for LLM agents and RAG applications, providing concise, factual search results with source attribution. Supports general web search, news search, and direct Q&A extraction. Returns pre-processed content optimized for AI consumption with relevance scoring and content deduplication.
MCP server that provides access to Wikipedia content. Lets AI agents search articles, fetch full or summarized page content, and resolve references, giving models reliable, citable background knowledge for research and question answering.
Algolia's MCP server for interacting with the Algolia search platform through AI tools. Lets agents run searches against indices, inspect and manage index settings and records, and review analytics and monitoring data using natural language. Useful for building, tuning, and debugging search experiences powered by Algolia.
Community MCP server that provides privacy-friendly web search through DuckDuckGo, plus fetching and parsing of web page content into clean text. Lets AI agents look up current information and retrieve source pages without an API key, making it a lightweight option for research and retrieval workflows. Not affiliated with DuckDuckGo.
A Model Context Protocol server for Google Drive that lets AI assistants list, search, and read files stored in Drive, with automatic export of Google Docs, Sheets, Slides, and Drawings to readable formats. Authenticates via OAuth 2.0 and exposes Drive files as MCP resources so agents can ground their answers in your documents without copying data into chat first.
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.
Apache Solr's MCP server connects agents to search collections and query workflows for schema discovery, relevance investigation, and search application development.
Microsoft's official MCP server and CLI for giving agents current, trusted Microsoft Learn documentation and code samples during development and troubleshooting.
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.
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.
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 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.
Official Notion MCP server for workspace integration. Enables AI agents to search pages, read content, create new pages, update existing pages, and manage databases in Notion. Supports rich text content, database queries with filters, and page property management for seamless knowledge base interaction from AI-powered tools.
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.
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