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    MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
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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.
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    Google Search Console for agents: search analytics by query, page, country, and device, plus a striking-distance report for queries ranking just off page one. Also lists, submits, and removes sitemaps and inspects URLs for index status, last crawl, and canonical.
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    Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.
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    Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.
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    Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.
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    A comprehensive MCP server with dual interfaces (stdio and web dashboard) that provides developer tools for Git operations and code search, system operations for command execution and monitoring, and data processing capabilities.
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    Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.
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    Enables AI coding assistants to understand codebase architecture in real time by parsing source code into a relationship graph and exposing call chains, dependencies, class hierarchies, and conventions via MCP tools.
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    Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.
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    Provides AI assistants with Safari browser automation and developer tools access, enabling LLMs to control Safari, access console logs, monitor network activity, and perform browser automation tasks.
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    A Model Context Protocol server that enables AI assistants to fetch and understand GitHub repository documentation on-demand from DeepWiki during conversations.
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    Loads your personal writing voice into any AI and scores how closely a draft matches it. Also rewrites and drafts in your voice, backed by the hosted Idiolect AI connector at https://idiolect.app/api/mcp.
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    MIT