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。9845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 programmatic interaction with GitLab repositories and resources via a Model Context Protocol server.
Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).
Enables AI assistants to manage Gmail through natural language interactions with auto authentication support.
Enables seamless integration of Stripe APIs into agentic workflows using popular agent frameworks.
Indexes and searches third-party library documentation using semantic splitting and vector embeddings.
Access content from the RedNote (XiaoHongShu) platform via an MCP server.
Provides example servers and clients used in the Model Context Protocol tutorials.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Provides a comprehensive toolkit for AI agents to interact with blockchain and decentralized finance.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Enables Claude Code as a one-shot MCP server, allowing LLMs to directly leverage Claude's coding capabilities.
Compose data sources into a unified graph using this GraphQL Federation platform.
Integrates AI models into Ruby applications via the Model Context Protocol.
Provides AI coding tools and agents with access to documentation for APIs, services, and libraries.
Provides a Java-based server and management platform for Xiaozhi ESP32 devices, enabling device monitoring, voice customization, role switching, and dialogue management.
Provides a self-hosted, minimal notes application for organizing markdown-based notes with full-text search.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Enables AI assistants to interact with Home Assistant, allowing natural language control of smart home devices, state queries, service execution, and automation management.
Democratizes AI scientists by providing an ecosystem for creating powerful research partners from any large language model.
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