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 real-time push notifications through a Model-Context-Protocol server.
Enables Claude to generate speech directly on Linux systems with GPU optimizations.
Facilitates multi-agent conversation protocols for the Adyen Checkout Utility Service OpenAPI specification.
Integrates with the Band API to enable fetching and manipulating Band group data using the Model Context Protocol.
Makes project documentation accessible to AI assistants for enhanced contextual understanding.
Deploys an HTTP wrapper for the `gcloud-mcp` CLI to Google Cloud Run, enabling programmatic execution of gcloud commands.
Enables AI assistants like Claude to interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Streamlines data science workflows by combining Large Language Models with the Model Context Protocol for AI-powered data analysis and processing.
Manages MongoDB data operations, including user insertion and dynamic search, with type-safe validation, facilitating interaction with Large Language Models.
Leverages information geometry and statistical manifolds for high-precision, context-aware information retrieval within Retrieval-Augmented Generation (RAG) systems.
Automates the entire GitHub Pull Request lifecycle, from comprehensive code review and intelligent fixes to status monitoring and final merges.
Performs QA regression testing for racing car simulations, providing analytics, data visualization, LLM chat, and AI summaries.
Enables AI to document patient visits directly into Electronic Medical Records, reducing administrative burden for healthcare professionals.
Provides a declarative gateway for safely executing high-risk operations via YAML-defined tools and pluggable approval chains.
Provides a generic and decoupled framework for Windows UI automation using gRPC.
Provides a comprehensive Model Context Protocol (MCP) API for programmatic interaction with Discord servers, enabling management of channels, roles, messages, and moderation.
Enables AI assistants to capture website screenshots, offering features like AI cleanup, device frames, and full-page capture.
Automates financial service tasks by combining human workers and AI into seamless, guided workflows.
Provides an MCP server for fetching, merging, and analyzing data from Google Search Console and Google Analytics 4.
Enables AI assistants to draw on a 2D canvas using Konva.js, running headlessly on Node.js.
Exposes MiniZinc constraint solving capabilities to AI agents through the Model Context Protocol.
Enable AI assistants to interact with and manage Google Workspace services, including Sheets, Slides, and Drive.
Provides a secure Kubernetes Model Context Protocol (MCP) server, enabling Large Language Models (LLMs) to safely query and manage clusters.
Connects AI assistants to the Productlane customer support platform, enabling interaction with threads, companies, contacts, and knowledge base resources.
Automates the generation of summaries and standup reports from AI coding sessions and imported development activities.
Facilitates proxying and connection management for virtual environments.
Connect Android devices to Large Language Models (LLMs) for remote control and automation.
Provides advanced Model Context Protocol capabilities for managing LLM interactions within high-scale Kubernetes environments.
Provides a persistent, searchable memory system for AI agents, featuring agent isolation, Obsidian sync, and an MCP server.
Provides agent-native tool intelligence to discover, score, and execute over 200 services across 100+ capabilities, featuring cost-aware routing and flexible credential management.
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