DocMorph Studio MCP server

• Registry namedev.docmorph/docmorph-studioverified in the MCP registry

The registry name sits under docmorph.dev. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-27
• Tools11
• Server calls itselfdocmorph-remote-mcp
• Server version1.0.2
• Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 194 ms.

• Whether its tools do the product's job has not been judged yet.
• Checked on 1 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
• Answeredmeasuring1 of the 7 daily checks it takes to print a share
• Median first answer555 ms
• Space in an agent's context≈ 2,645 tokensthe definitions of all its tools (11), which an agent carries on every turn
• Tool definitionsB · 83 of 100
• Typed results0 of 11 toolsdeclared outputSchema: results come typed, read once

• Not saying whether it only reads or can destroy: 11 of 11

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• 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.

• extract_markdown_outline

  Extract hierarchical headings, table of contents, word/character statistics, and document structure outline from Markdown text.

• convert_markdown_to_pdf

  Compile Markdown text into a styled, publication-ready PDF document with automatic pagination and headers.

• parse_pdf_to_markdown

  Extract structured Markdown, tables, and mathematical formulas from a base64 encoded PDF using AI vision OCR.

• image_ocr_recognize

  Extract multilingual text, complex headings, formulas, and tabular data from images using multimodal AI vision.

• assist_ocr_text

  AI assistant to translate, proofread, or summarize extracted OCR document text.

• 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.

• 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.

• 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…

• 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…

• 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…