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 natural language interaction with AWS resources through AI assistants like Claude.
Provides AI models with persistent memory by leveraging an Elasticsearch-backed knowledge graph.
Summarizes code files within a directory using Gemini Flash 2.0, and offers an MCP server for LLM tool integration.
Provides a Model Context Protocol (MCP) server implementation for sending emails using the Resend email service.
Integrates Alfresco with the Model Context Protocol to connect content services to AI applications.
Enables interaction with the Agenda app on macOS through Claude AI for note creation and project management via x-callback-urls.
Enables AI assistants to interact with and manage Google Cloud Platform resources through a standardized interface.
Provides a web-based interface for interacting with Large Language Models (LLMs) and managing context aggregation.
Demonstrates Semantic Kernel integration with Model Context Protocol in a Windows Forms application.
Provides a minimal Cloudflare Worker template for generating images using workers-mcp and Workers AI.
Enables semantic code search and repository indexing for improved code understanding and retrieval.
Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).
Enables interaction with Tlon agents, facilitating direct messaging and contact management through natural language commands.
Retrieves Sentry issue details or lists of issues for analysis and debugging.
Generates charts server-side using React and Recharts, eliminating the need for a browser.
Facilitates Elasticsearch data processing and search through Spring AI's Model Context Protocol.
Empowers AI assistants to deeply understand and effectively work with any codebase through AI-powered analysis.
Provides a Model Context Protocol (MCP) server with pre-built tools and resources for quick experimentation.
Enables keyword search and content retrieval for documentation websites.
Provides enhanced real-time search capabilities for open domain networks by integrating multiple data sources.
Performs comprehensive project analysis through real code parsing, AST-level component extraction, and intelligent context generation for AI coding assistants.
Integrates DingTalk robot notifications directly with Claude Code sessions to automate alerts and updates.
Facilitates remote execution of AppleScript and JavaScript for Automation (JXA) scripts on macOS, enabling programmatic control over applications and system functions.
Solves Linear Programming and Non-Linear Programming problems by breaking them into systematic, verifiable steps using the Sequential Thinking Model Context Protocol.
Executes Go code in the Go Playground sandbox and generates shareable URLs through an MCP server.
Provides a minimal MCP server for scanner capture, supporting ADF, duplex, page-size handling, batching, and multipage assembly.
Provides an AI-powered persistent memory system offering vector search, semantic analysis, and intelligent categorization for AI agents.
Provides tools for querying, searching, and validating OpenStreetMap tags and exploring presets using the official `id-tagging-schema` library.
Connects AI Endurance training platforms to AI assistants for conversational access to training data, workouts, and performance analytics.
Manage your Tailscale network (tailnet) through AI-powered clients and the Model Context Protocol.
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