お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Enables Claude to generate speech directly via Zonos Text-to-Speech.
Enables AI assistants to read and interact with notes from the Bear note-taking application.
Accesses user profiles and social graph information from the BlueSky social network.
Manages tasks locally with urgency levels, effort estimates, Obsidian integration, and Model Context Protocol (MCP) server access.
Analyze GitHub repositories, developers, and organizations with in-depth insights into the open-source ecosystem.
Enables AI assistants to directly query data results from DataFocus using natural language.
Enables retrieval and analysis of Ramp data for LLM integration via a Model Context Protocol server.
Enables media file management for the Eagle application through a Model Context Protocol server.
Enables retrieval of user and video information from the Bilibili API using the Model Context Protocol.
Facilitates access to Alibaba Cloud PolarDB clusters, a cloud-native relational database service.
Queries the Meraki Dashboard API to discover, monitor, and manage a Meraki environment.
Enables AI assistants to access and analyze Oura Ring data through the Model Controller Protocol (MCP).
Provides long-term, on-device "AI memory" for supported IDEs, powered by Kuzu GraphDB and exposed via an MCP-compliant server.
Enables interaction with Apache Pinot clusters using a Model Context Protocol (MCP) server.
Connects AI assistants to Web Ontology Language (OWL) ontologies using the Model-Context-Protocol.
Provides contextual information about food products to AI-powered development tools using the official Model Context Protocol (MCP) specification.
Orchestrates a self-spawning team of AI coders to develop software projects using multi-agent coordination and a web-based dashboard.
Unifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Generates code using Large Language Models to analyze Excel data.
Exposes project-specific development tools like linters and tests to coding agents via a simple YAML configuration, enabling easy setup, execution, and sharing.
Automate comprehensive browser-based end-to-end testing and quality assurance workflows for web UIs.
Integrates `.faf` (Project DNA) context into Claude Desktop for instant AI understanding of any project.
Empowers AI models to perform comprehensive MySQL database operations through a standardized Model Context Protocol interface.
Facilitates a simple and stable connection between Anki and large language models.
Aggressively compacts and recycles context for Claude Code, saving tokens by structuring web research, task outputs, and conversations into efficient snapshots.
Transforms live data streams into actionable insights by composing small, focused building blocks into intelligent pipelines.
Automates and assists the migration of HeroUI v2 and NextUI projects to HeroUI v3 beta through project scanning, file analysis, and guided rewrites.
Deploys an ultra-lightweight, privacy-focused AI agent and personal assistant on low-cost edge hardware and Android devices, emphasizing Urdu-first support.
Enables cross-device long-term memory and context synchronization for AI coding agents, preventing repetitive explanations across sessions.
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