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  • A
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
    66
    143 PyPI
    402
    MIT
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    Enables AI agents to create temporary email inboxes and wait for OTPs, magic links, or password reset emails via AgentTemp's API, useful for automation and verification workflows.
    6 npm
    MIT
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    A comprehensive collection of 103 tools providing capabilities for text processing, data analysis, web development, and business management in a single server. It is designed for rapid deployment to Vercel and integrates seamlessly with MCP clients like Claude and Cursor to automate diverse workflows.
    103 npm
    MIT
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    Enables integration with Fatture in Cloud to manage Italian electronic invoices through natural conversation, including creating, sending, and tracking invoices and financial data.
    51 PyPI
    25
    MIT
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    Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.
    14
    549 npm
    380
    MIT
  • A
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    MCP server for PullPush.ai integration sync engine, providing 43 tools to manage connectors, flows, sync operations, diagnostics, and more through the Model Context Protocol.
    34 npm
    MIT
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    MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for Ai systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.
    5
    15 npm
    1
    MIT
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    Enables AI assistants to search restaurants, browse menus, build a cart, and place foodpanda orders in Hong Kong (or other configured regions) on the user's behalf.
    11
    9 npm
    MIT
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    Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.
    4
    68
    MIT