api development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9929개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Enables n8n workflows to interact with Model Context Protocol (MCP) servers for accessing resources, executing tools, and utilizing prompts.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Enables Java applications to interact with AI models and tools through a standardized interface.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Exposes MCP stdio-based servers over SSE or WebSockets, enabling remote access and integration.
Provides a TypeScript framework for constructing Model Context Protocol (MCP) servers.
Build Java enterprise applications with a restrained, efficient, open, and ecological framework.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Aggregates and unifies multiple Model Context Protocol (MCP) servers, enabling middleware application and dynamic management.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Provides a collection of example UI components and Model Context Protocol (MCP) servers to demonstrate building rich applications for ChatGPT.
Integrates Perplexity's real-time web search, reasoning, and research capabilities into AI assistants.
Aggregates search results from various web search services through a unified metasearch library.
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