developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20484개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Implements a system-wide Model Context Protocol server offering file operations, HTTP requests, and command execution.
Converts addresses into GPS coordinates and generates map images using the Geoapify API.
Analyzes web accessibility and simulates color blindness for web pages using axe-core and Puppeteer.
Logs statistically unusual events in conversations to a SQLite database for later analysis.
Enables natural language interaction with Home Assistant entities using the Model Context Protocol.
Organizes and manages files across directories by type, leveraging robust permission checking for secure access.
Browse and utilize Pipedream MCP servers through a modern web interface.
Sends webhook notifications upon AI agent task completion, facilitating efficient multi-project development.
Launches Solana tokens with AI-powered features, including concept and image generation, and DNA sequencing.
Access Aladin book search, details, bestsellers, and category information through a Model Context Protocol (MCP) server.
Integrates AI assistants with ERPNext/Frappe to manage data and facilitate comprehensive custom application development.
Provides a standardized interface for AI models, especially Large Language Models, to securely interact with AWS S3 buckets for listing, object retrieval, and file downloads.
Provides deep code intelligence capabilities like impact analysis, semantic search, and dependency tracking to AI coding assistants.
Generates interactive codebase walkthroughs by leveraging Mermaid diagrams and detailed section summaries.
Enables AI assistants to perform DMA memory operations on Linux systems using PCILeech and MemProcFS.
Enables non-custodial x402 payment processing for AI agents on the Base network.
Enables AI agents to perform deterministic video editing operations programmatically.
Provides AI assistants with direct, up-to-date access to the complete Vue.js documentation.
Provides AI agents with persistent memory and visualizes their real-time thought processes as an interactive 3D desktop orb.
Optimizes large language model context by creating an AST-driven compressed representation of a codebase, significantly reducing token consumption and processing time.
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