Claude KVM
MCP server — control remote desktops via VNC with a native Swift daemon and Apple Vision OCR
BACH FileCommander
43 tools for filesystem, process management, sessions, search, OCR, ZIP, and PDF export.
experience-cleaning-skill
Clean OCR and manually entered interview experiences before storage so the RAG corpus has less noise, fewer duplicates, and more consistent company, department, and question fields.
Io.Github.RECERQA/Rq Scan
MCP Server for RQ-SCAN - AI-powered document OCR and data extraction platform
chalkak-ocr-models-release
Release and sync the `chalkak-ocr-models` AUR package by bumping `aur/chalkak-ocr-models/PKGBUILD` and `.SRCINFO`, refreshing checksums against the GitHub asset `ocr-models-vN`, and pushing packaging-only metadata to AUR. Use when publishing OCR model files to AUR, updating model package version/checksum, or fixing `chalkak-ocr-models` AUR metadata.
reMarkable MCP Server
Access your reMarkable tablet - read documents, browse files, extract text and OCR
Optical Context MCP
Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.
Document Processing
Extract text from documents, manipulate PDFs, and perform OCR on images.
ocr
AI-powered multi-agent code review. Simulates a team of Principal Engineers reviewing code from different perspectives. Use when asked to review code, check a PR, analyze changes, or perform code review.
Native DevTools
MCP server for desktop, browser (CDP), and Android automation. Screenshot, OCR, click, type.
glmocr
Extract text from images using GLM-OCR API. Supports images and PDFs with high accuracy OCR, table recognition, formula extraction, and handwriting recognition. Use this skill whenever the user wants to extract text from images, perform OCR on pictures, scan documents, convert images to text, or process any image files to get their textual content.
MinerU
MinerU document parsing API — PDFs, images, DOCX, PPTX with OCR and batch processing.
Io.Github.Deesmo/Arch Tools Mcp
53 AI tools for agents: web, crypto, AI generation, OCR, and more. Pay with Stripe or USDC.
modlens
Plug-in vision for text-only models. Hard rule: when a file path or URL with an image extension (.png, .jpg, .jpeg, .webp, .gif, .heic, .heif) appears anywhere in the conversation (typed by the user, injected as a `[Image: source: <path>]` line, or inside a tag) and you cannot see that image's content, run this skill on it before any other approach: no self-built OCR, no PIL, no tesseract. Also triggers on pasted-image placeholders such as `[Image #1]` and `[Unsupported Image]`. If you can actually see the image, do not use this skill. When unsure, run `modlens guard` before the first read of a session: a deny verdict means the active model has native vision and must read the image itself. Runs the modlens CLI to convert the image into structured JSON evidence: every word transcribed, layout regions, semantics, visual clues. Also use when the user asks how to install, configure, or switch modlens providers (Gemini API key, OpenAI-compatible endpoints, Claude API or Claude Code CLI).
answer-processing
Use whenever the user uploads a hand-written or scanned answer PDF to be graded against a reference solution. Converts answer PDFs in `answers/*.pdf` to markdown in `answers/converted/*.md` using the pdf skill (OCR as needed), then performs strategy-based grading against `converted/solutions/*.md` or `quizzes/*_answers.md`. Invoked by `/grade`.
Docpick
Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.
deAPI MCP Server
33 AI tools: transcription, image/video generation, TTS, music, OCR, embeddings via deAPI
reMarkable MCP Server
Access your reMarkable tablet - read documents, browse files, extract text and OCR handwritten notes
htr-transcription
Guide for using HTRflow MCP tools to transcribe handwritten documents. Use when: transcribe handwriting, HTR, handwritten document, OCR historical document, read old handwriting, digitize manuscript, transcribe old letters, recognize handwritten text.
rival-search-mcp
Deterministic deep research via RivalSearchMCP. 9 tools: 5-engine web search (DuckDuckGo/Bing/Yahoo/Mojeek/Wikipedia), 9-platform social search (Reddit/HN/StackOverflow/Dev.to/Medium/ProductHunt/Bluesky/Lobste.rs/Lemmy), 5-source news (Google/Bing/Guardian/GDELT/DDG), 5 academic DBs (OpenAlex/CrossRef/arXiv/PubMed/EuropePMC), GitHub search, website mapping, content extraction with OCR, and research topic synthesis. No API keys required. Use when the user needs web research, competitive analysis, content discovery, or academic paper search.