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。21589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。
Integrates Scraper.is with the Model Context Protocol (MCP) for web scraping capabilities in AI assistants.
Enables collaborative user experiences with Claude Desktop by creating a bi-directional bridge to a visual context.
Enables AI assistants to search the web using the Perplexity API.
Extends the WordPress Gutenberg editor with custom functionality.
Manages and automates interactions with Nature Remo devices through an MCP server.
Compose and generate asynchronous API clients and Model Context Protocol (MCP) servers from OpenAPI specifications effortlessly.
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Enables hot-reloading for Model Context Protocol (MCP) servers, allowing dynamic tool loading and instant feedback during development.
Enables natural language interaction and control over a physical robot via a Model Context Protocol server.
Execute Python code, install packages, and manage Python scripts within a secure, integrated environment.
Access futures market analytics, including Open Interest, Liquidations, Long/Short Ratio, and Funding Rates, via the CoinGlass API.
Execute AppleScript and JavaScript for Automation (JXA) scripts on macOS remotely via a Model Context Protocol (MCP) server.
Enables AI assistants to securely manage iCloud Calendar events and resources via CalDAV.
Assemble a council of AI experts to review code from diverse perspectives using multiple AI models.
Generates and edits 3D models, UVs, textures, and animations within Blockbench via a deterministic, low-level MCP interface.
Reduces LLM token usage by semantically compressing prompts while preserving meaning and core constraints.
Manages structured reasoning, session persistence, and project memory for AI agents through a local server following a First Principle thinking framework.
Provides persistent memory and project context to enhance AI coding agents' efficiency across development sessions.
Automates knowledge capture from coding sessions, converting transcripts into searchable Zettelkasten notes for persistent learning.
Discovers, evaluates, and installs over 25,000 Model Context Protocol servers across various registries for AI clients.
Scroll for more results...