api development向けの厳選されたMCPサーバーコレクションをご覧ください。9929個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables AI models to interact with Spinnaker deployments, pipelines, and applications through the Model Context Protocol (MCP).
Enables communication with multiple unichat-based Model Context Protocol (MCP) servers simultaneously, aggregating their responses.
Enables AI language models to interact with YouTube content through a standardized interface.
Integrates with MCP clients to provide deepfake face swap analysis.
Enables AI assistants to fetch, explore, and analyze source code from any NPM package in real-time.
Enables LLM agents to interact with Aucterra's document classification and extraction services.
Provides a Model Context Protocol (MCP) server for the Anbani Georgian Language Toolkit.
Enables AI assistants to manage song requests, monitor queues, and interact with StreamerSongList APIs on streaming platforms.
Unifies developer context from various collaboration platforms into a single, accessible graph for AI assistants.
Enables agents to request various types of information directly from users.
Provides an MCP server that facilitates access to a vast hotel network with shopping and booking capabilities for AI applications.
Exposes a simple FastAPI CRUD API as a set of interoperable tools using FastMCP, complete with Docker containerization and client integration instructions.
Integrates Ableton Live with Claude AI for comprehensive AI-assisted music production and real-time session control.
Train GPU-accelerated gradient boosting models as a stateless cloud service, enabling fast predictions and portable artifact export for AI agents and developers.
Enables AI assistants and Large Language Models to fetch and utilize comprehensive Pokémon data directly from the PokeAPI.
Provides a Model Context Protocol (MCP) server for storing and retrieving AI agent memories.
Provides AI agents with programmatic access to Material Web documentation and component utilities.
Connects large language models with medical and hospital management databases, enabling AI assistants to explore database schemas and execute SQL queries for real-time data retrieval.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Dynamically imports API specifications (OpenAPI, GraphQL, AsyncAPI), exposes them as tools for agents, and enhances functionality through self-learning and autonomous documentation.
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