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    Exposes Semgrep as deterministic, rule-matching analysis tools over MCP so a code-review agent can scan only the lines changed in a diff, scan whole files on demand, and check analyzer availability, version, ruleset, and limits. Results are returned as compact per-finding lines with source snippets suitable as comment anchors, along with counts of suppressed out-of-diff matches.
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    Fact-checks and fixes AI outputs by catching hallucinations, repairing broken JSON, and correcting errors before they reach users, with tools for verification, validation, and correction.
    4
    25 npm
    MIT
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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
    9
    33 npm
    1
    Apache 2.0
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    Model Context Protocol (MCP) server for App Store Optimization. Score your App Store / Google Play listing metadata, check character limits, and clean up the iOS keyword field — right inside Claude, Cursor, or any MCP client.
    4
    7 npm
    1
    MIT
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    Enables Claude Code to directly control Android emulators or Windows windows for MaaFramework pipeline development, with features like screenshot with grid, template cropping, and real-time recognition testing.
    MIT
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    Gives any agent eyes and ears by indexing video, audio, and screen activity into searchable, timestamped frames, transcripts, and OCR text that answers can cite. It also evaluates frozen verification contracts over file digests, JSON values, SQL results, HTTP responses, and DOM state to return a deterministic verdict from a separate process.
    MIT
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    ▎ Enables AI assistants to unleash a crowd of role-played virtual users — impatient shoppers, seniors, keyboard-only users, privacy hawks, chaos monkeys — on a website. Each persona browses in a real Chromium browser, files UX/QA findings in character, and the site receives a damage report with an S–F survival grade. Accusations can be cross-examined by up to three independent verification engines
    1
    MIT
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    Enables AI assistants to perceive and operate macOS applications through screenshots, on-device OCR, accessibility elements, and consent-gated input, and to run an app in an isolated virtual-display session with screenshots, OCR/ASCII frames, bounded history, and evidence reports. It supports text-only models via spatial text representations while keeping capture read-only by default and gating control behind macOS permissions and operator authorization.
    MIT
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    MCP server for driving any Windows app through five layers including OCR, UI Automation, and direct OS operations. Enables AI agents to control Windows desktop and OS cursor-free, even on background/locked windows.
    79 npm
    2
    MIT
  • F
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    Enables AI agents to automate and debug real Chromium browsers with capabilities like screenshots, video recording, performance analysis, visual regression testing, and OCR text extraction.
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    Provides JIRA issue management and automation through MCP tools and standalone scripts, enabling reading, searching, analyzing, and modifying issues with batch processing and OCR capabilities.
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    maintenance
    Desktop UI automation for AI agents: screenshots, window management, mouse, keyboard, UI Automation tree, OCR. Single Windows x64 binary, no dependencies.
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    The new Bright MCP Server enables AI assistants to directly interact with Bright and manage security scans end-to-end. Using natural language prompts, AI can now analyze existing coverage, identify missing or hidden entrypoints, add them to the project, select the most relevant security tests based on the application’s technology, and start scans automatically.
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  • F
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    An MCP server that lets AI assistants drive real Chromium browsers — navigate, click, type, read pages, run OCR, and record network traffic. 43 tools, credentials stay local, zero telemetry.
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