developer tools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。18267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。
Provides filesystem capabilities to Claude, allowing it to read, write, and manipulate files on your system.
Categorizes software tools for the MCP Server platform.
Provides a TypeScript template for building Model Context Protocol (MCP) compatible servers.
Demonstrates a custom Model Context Protocol (MCP) implementation for basic arithmetic operations.
Enables AI assistants to control a browser through a set of tools, allowing web automation tasks.
Integrates with the Shortcut API to manage project data and analyze attached Loom videos for debugging.
Provides a robust template for developing Model Context Protocol (MCP) servers compatible with the Xava Labs TypeScript Agent Framework.
Enables AI agents to execute a wide range of SQL operations, including read, create, insert, update, and delete, against a MySQL database.
Integrates the Tavily API into an MCP server to provide robust web search capabilities.
Establishes a foundational server environment using standard I/O for integrating Model Context Protocol functionalities.
Leverages Apache Tika to extract content and metadata from various local file formats (PDF, DOCX, TXT) into HTML or plain text.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Enables AI assistants to capture and analyze screen content across multi-monitor setups for desktop operations.
Automate common Apple Notes tasks, including listing, searching, reading, creating, updating, and deleting notes on macOS.
Provides enterprise-grade encrypted storage for bank card details and comprehensive multi-chain cryptocurrency wallet management.
Provides secure agent-to-agent communication, cryptographic identity, human-in-the-loop escalation, and prompt injection detection for autonomous agents.
Manages shared versioned state for multi-agent AI workflows.
Facilitates intelligent application integration with AS400/IBM i systems.
Transforms a codebase into a machine-readable knowledge graph, enabling AI coding agents to reason about dependencies, impact, and system architecture.
Orchestrates `pyautogui` driven GUI automation by providing an MCP server for instrumented Python code execution.
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