AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Searches Airbnb listings and retrieves detailed information, providing direct links to the listings.
Integrates Model Context Protocol (MCP) with the Cursor IDE for enhanced development workflows.
Provides server-side functionalities for MCP (Mission Control Platform) tools.
Provides a collection of specialized Model Context Protocol (MCP) servers for diverse use cases.
Provides AI-powered tools for web search, mathematical calculations, and tech news aggregation using the Machine Communication Protocol.
Organizes MCP Server tools into available categories.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Integrate and automate WhatsApp Web interactions through the Model Context Protocol.
Enables AI Agents to request and manage Selenium browser instances through a secure API.
Serves as a Model Context Protocol (MCP) server for robust LaTeX compilation and automated document generation.
Provides access to the OpenSincera API for retrieving publisher metadata and verification information.
Implements a production-ready Model Context Protocol (MCP) server demonstrating the complete MCP specification including OAuth 2.1, sampling, elicitation, structured data validation, and real-time notifications.
Integrates Model Context Protocol 2025-06-18 specification support seamlessly into Laravel applications, enhancing development with its native conventions.
Analyzes customer data, creates targeted marketing campaigns, and provides actionable business insights using AI agents within a Customer Relationship Management system.
Retrieves Time Doctor time tracking reports, converts them to CSV format, and makes them accessible to AI assistants via the Model Context Protocol.
Integrates MiniRAG with an MCP server to enable client-managed LLM inference for efficient and reliable retrieval tasks.
Facilitates debugging and control of React Native applications for Radon IDE and MCP-compatible clients.
Empowers AI agents to autonomously administer and analyze Oracle databases through natural language.
Enables AI agents and humans to coordinate tasks, share context, and track progress across various tools via the Model Context Protocol (MCP).
Enables semantic search over local PDF, Excel, SQL, Markdown, and HTML files using a vector database and AI embeddings.
Expose Hono API endpoints as Model Context Protocol (MCP) tools, simplifying integration and enhancing API functionality.
Establishes a repository-based workflow to coordinate AI development tools by maintaining a shared, consistent project context through deterministic, snapshot-driven updates.
Integrates Google Search Console data with AI assistants, enabling natural language queries for SEO performance metrics.
Provides a QR-as-a-Service infrastructure for AI agents to programmatically generate, manage, and track dynamic QR codes.
Connects any MCP client to a PocketBase instance over stateless HTTP, providing programmatic access to database operations.
Verifies academic references against Crossref, Semantic Scholar, and arXiv to catch hallucinated citations, find real papers, and export corrected BibTeX.
Crawls and indexes documentation websites, enabling AI models to search, read, and expand on their content on demand.
Analyzes large log files using a hybrid architecture for deterministic signal extraction and optional agentic reasoning.
Performs real-time DNS security analysis, including DNSSEC validation, email authentication checks, and registration intelligence, for AI assistants.
Validates live network state against design intent using AI for multi-vendor environments, diagnosing and documenting discrepancies.
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