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    TCG oracle as an MCP server: 22 focused tools. Search 455K+ trading cards, live market snapshots, AI grading and grade-or-not decisions, conformal-calibrated price forecasts with a public accuracy scorecard, card-collateral loan terms, fantasy and sports souls leagues. Every root proven on-chain. Same tools as the hosted endpoint at mcp.the-undesirables.com, over stdio; no keys.
    22
    34 PyPI
    4
    Business Source 1.1
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    Not graded
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    maintenance
    Enables an AI agent to inspect images, resize and compress them to size budgets, strip EXIF/GPS metadata, generate thumbnails, and safely batch-process files inside a directory sandbox.
    MIT
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    Enables AI agents to compress videos to target sizes, create GIFs, cut clips, and preview exact ffmpeg commands before execution, with safe subprocess handling, progress reporting, cancellation, and dry runs.
    MIT
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    Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.
    38
    15
    GPL 3.0
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    Compress, merge, split, OCR and convert PDFs (Word, Office, images, webpages) on local files, plus password protect and unlock, through the Papyrio API. Works without a key on a free guest tier; an optional RapidAPI key raises the limit.
    12
    96 npm
    1
    MIT
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    Image generation for Claude Code, Claude Desktop and any MCP client, using your existing ChatGPT subscription. Drives the already-signed-in Codex desktop app over the Chrome DevTools Protocol - no API key, and no Codex agent quota. Supports iterative refinement through a reusable conversation. Windows only; requires the Codex desktop app.
    2
    MIT
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    Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.
    5
    14 npm
    14
    MIT
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    maintenance
    Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.
    3
    23 npm
    2
    MIT
  • F
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    Enables designing labels for NIIMBOT thermal printers and previewing exactly what the printhead will burn, since each design is rendered offline with NiimBlue's own code in headless Chrome and returned as a 1-bit PNG with layout warnings. It also returns an open-in-app link so the label can be reviewed and printed from NiimBlue, without the server ever touching a printer.
    4
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    Enables an AI agent to capture a photo via a live camera preview, returning the image to the agent and saving it locally.
    1
    MIT
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    Search a YouTube video's transcript and get back only the moments that answer the question, each with a clickable timestamp deep link. Also reads the video's frames — slides, charts, demos and on-screen text — and verifies every citation against recorded evidence before returning it
    9
    MIT
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    FableCut is a Premiere-style non-linear video editor that runs entirely in your browser — and exposes its whole timeline as one JSON document. Edit it by hand, from the UI, or let an AI agent (Claude Code, Claude Desktop, or anything that speaks MCP/REST) cut your video for you while you watch the timeline update live.
    24
    253 npm
    783
    MIT
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    Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.
    15
    MIT
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    Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.
    1
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    MIT
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    Enables AI agents to batch-optimise whole image folders, picking the format, size and quality for each image individually. Each output is the smallest file that still meets an SSIMULACRA 2 visual-quality target, with responsive srcset markup and untouched originals.
    5
    371 npm
    1
    Apache 2.0
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    thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.
    2
    344 npm
    1
    MIT