DocMorph Studio
Render Mermaid diagrams, Markdown to PDF and outlines, image OCR, and media metadata cleanup.
| Endpoint | https://docmorph.dev/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.2 |
| Now | 11 tools · grade B (89) · pin ts_d4473daa78f213e676b744a3c2b118a9 · protocol 2025-06-18 |
| First / last listed | 2026-11-12 01:14 UTC / 2026-11-12 01:14 UTC |
| Grade over time | 2026-11-12: B (89), 11 tools |
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Tools: render_mermaid_diagram extract_markdown_outline convert_markdown_to_pdf parse_pdf_to_markdown image_ocr_recognize assist_ocr_text inspect_media_security sanitize_media_security word_protect word_remove_password word_inspect_security
render_mermaid_diagram | Render a Mermaid diagram into styled SVG vector image code and node metadata. Supports flowchart/graph and sequenceDiagram (sequence) types. Other types (ER/gantt/mindmap/pie/state) should be rendered on client-side using mermaid.js. params: syntax*, title, theme |
extract_markdown_outline | Extract hierarchical headings, table of contents, word/character statistics, and document structure outline from Markdown text. params: content*, markdown |
convert_markdown_to_pdf | Compile Markdown text into a styled, publication-ready PDF document with automatic pagination and headers. params: markdown*, title, theme, pageSize |
parse_pdf_to_markdown | Extract structured Markdown, tables, and mathematical formulas from a base64 encoded PDF using AI vision OCR. params: base64Pdf*, fileName |
image_ocr_recognize | Extract multilingual text, complex headings, formulas, and tabular data from images using multimodal AI vision. params: base64Image*, language, mode |
assist_ocr_text | AI assistant to translate, proofread, or summarize extracted OCR document text. params: text*, action*, targetLang |
inspect_media_security | Deeply inspect image, video, or audio files for privacy leaks, including GPS physical coordinates, camera/recorder hardware serials, recording timestamps, and editing software signatures. params: base64Data*, mediaType, fileName |
sanitize_media_security | Permanently wipe and sanitize privacy metadata from image, video, or audio files (strip GPS coordinates, device fingerprints, timestamps, and comments) with zero quality loss. params: base64Data*, mediaType, fileName, clearGps, clearDevice, clearTimestamps |
word_protect | Protect a Word .docx document in one call: set an open password (Agile AES-256 encryption, opens in Microsoft Word / WPS / LibreOffice), add a native Word text watermark, add copyright info (author/custom property/footer), clean privacy metadata, and restrict editing (read-only / comments only / tracked changes only / forms, optionally password-protected). Returns the protected .docx as base64 plu params: base64Docx*, fileName*, currentPassword, openPassword, watermarkText, watermarkLayout, watermarkColor, watermarkOpacity, watermarkFontSize, watermarkFontFamily, copyrightAuthor, copyrightText, copyrightFooter, cleanPrivacy, privacyItems, restrictEditing, restrictPassword |
word_remove_password | Remove the open password from an encrypted Word .docx (Agile encryption, Office 2010+) using the known password, with integrity (HMAC) verification. Returns the decrypted .docx as base64. A wrong password returns a clear WRONG_PASSWORD error; this tool does not crack or guess passwords. Max input 20MB base64. Privacy: when called remotely (Streamable HTTP / SSE) the file is uploaded to the DocMorp params: base64Docx*, password*, fileName |
word_inspect_security | Inspect the security and privacy state of a Word .docx: whether it is password-encrypted and with which algorithm, editing restriction mode and whether it is password-protected, presence of a text watermark, and privacy metadata (author, last modified by, company, manager, timestamps, custom properties, comment/revision author names). For encrypted files, pass the password to also inspect the cont params: base64Docx*, fileName, password |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.