api development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7973개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Exposes Obsidian notes through a secure REST API, enabling automation and integration with other tools.
Enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
Enables AI assistants to interact with and manage n8n workflows through natural language.
Consolidates multiple MCP servers into a single SSE endpoint for streamlined service management.
Provides a command-line interface for interacting with Model Context Protocol (MCP) servers using stdio and HTTP transport.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Compose data sources into a unified graph using this GraphQL Federation platform.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Integrates AI models into Ruby applications via the Model Context Protocol.
Enables interaction with Text to Speech and audio processing APIs for MCP clients.
Enables advanced automation and interaction capabilities for Infrastructure as Code (IaC) development through integration with Terraform Registry APIs.
Enables seamless integration of Stripe APIs into agentic workflows using popular agent frameworks.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Serves LangChain LLM applications and agents as robust FastAPI-powered API endpoints.
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