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MCP 工具与服务目录

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正式条目

87,637

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36,826

最近生成

2026-05-22

AI代理未说明

全面解析Mobile Dev MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Mobile Dev MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

AI代理未说明

A Model Context Protocol server that enables scalable mobile automation for iOS and Android through a platform-agnostic interface, allowing LLMs to interact with mobile applications via accessibility snapshots or screenshot-based inputs.

开发工具未说明

A Node.js-based Model Context Protocol implementation that provides a standardized interface for integrating Mobile Security Framework's security analysis capabilities into automated workflows and third-party tools.

安全风控未说明

Search, preview, and analyze datasets from 20+ platforms and millions of datasets via a single MCP connector. Works with Claude instantly

开发工具未说明

Turns text prompts into premium iOS UI mockups (PNG + HTML). Powered by Claude + a Playwright headless renderer. Two backends: local claude CLI (uses your Claude Code subscription) or the Anthropic API.

数据服务未说明

Enables AI agents to explore and query a mock e-commerce store's data including customers, products, inventory, and orders through conversational interactions backed by PostgreSQL.

AI代理未说明

Create professional app store screenshots, device mockups, and marketing visuals from raw screenshots using AI. Mockupper helps agents generate polished presentation assets faster for launches, ads, and store listings. Requires a Mockupper MCP API key generated from the mobile app. Get X-API-Key from: https://damdafa.sng.link/Dt0bf/qlfh1/tdhk

开发工具未说明

MCP server for mockzilla. Lets coding agents (Claude Desktop, Cursor, etc.) install the mockzilla CLI, stand up API mocks from an OpenAPI spec or a single endpoint, and — with an account — deploy hosted mocks on mockzilla.org.

音视频未说明

Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.

开发工具未说明

Facilitates enhanced interaction with large language models (LLMs) by providing intelligent context management, tool integration, and multi-provider AI model coordination for efficient AI-driven workflows.