Servidor MCP de PreteWorks

• Nombre en el registrocom.preteworks/preteworks-apiverificado en el registro MCP

El nombre en el registro está bajo preteworks.com. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

• Estadorespondecomprobado el 2026-10-25
• Herramientas29
• El servidor se llamapreteworks
• Versión del servidor1.1.0
• Versión del protocolo2025-06-18

El 2026-10-25 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 1571 ms.

• Sus herramientas hacen todos los casos de uso comprobados: Turn a web page into markdown or structured data; Convert HTML, documents or spreadsheets into PDFs or screenshots; Summarize documents and answer questions about their contents.
• Comprobado 4 de los 7 días necesarios para juzgar su fiabilidad.

Lo dicen reglas a partir de las mediciones de arriba. La primera llamada probable la elige un modelo de la lista de herramientas; lee su descripción antes de fiarte.

• Nota INITE MCPtras una semanala nota necesita 7 comprobaciones diarias: 4 hasta ahora
• Qué puede hacer un agente con él3 de 3 casos de uso
• Respondiómidiendo4 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
• Mediana de la primera respuesta1898 ms
• Espacio en el contexto del agente≈ 3802 tokenslas definiciones de todas sus herramientas (29), que el agente lleva en cada turno
• Definiciones de herramientasA · 99 de 100
• Resultados tipados0 de 29 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez

• Parámetros sin descripción: en 1 de 29

Un programa comprueba el servidor una vez al día: initialize y tools/list, sin modelo. Los tokens son la longitud de las definiciones, a unos cuatro caracteres por token. La nota promedia seis comprobaciones del nombre, la descripción, el esquema y las anotaciones de cada herramienta; dice lo bien descritas que están, no si funcionan. La nota pondera solo lo medido: si responde (25%), si hace el trabajo del producto (25%), definiciones (20%), contexto (10%), uso (10%) y lo fácil que es conectarse (10%). Lo que no se midió queda fuera, y una instrucción oculta limita la nota a 40. El estado de los servidores MCP de los proveedores: método y números →

• render_html_to_pdf

  Render a full HTML document to a PDF. External subresources are blocked for safety — inline images/fonts as data: URIs. Returns a file_id (for chaining) and a ~1h download URL.

• number_pdf

  Stamp a page number on every page. position: bottom-center (default) | bottom-left | bottom-right | top-center | top-left | top-right. format supports {n} and {total}. Returns a file_id + ~1h URL.

• pdf_info

  Read a PDF's metadata (title, author, subject, keywords, creator, producer, dates) plus page count and page size, as JSON.

• set_pdf_metadata

  Set a PDF's title, author, subject, keywords (array or comma string) and/or creator. Only the fields you provide change. Returns a file_id + ~1h URL.

• render_document

  Render a structured document to a PDF from a named template (invoice, receipt, report). Money/totals are computed for you. Returns a file_id (for chaining) and a ~1h download URL.

• merge_pdfs

  Combine 2+ PDFs into a single PDF, in the order given. Inputs are file_ids (from prior tools) or base64 PDFs. Returns a file_id (for chaining) and a ~1h download URL.

• select_pages

  Keep only the specified pages of a PDF (e.g. [1,3,5]) and drop the rest, preserving order. Returns a file_id (for chaining) and a ~1h download URL.

• rotate_pdf

  Rotate every page of a PDF by 90, 180, or 270 degrees (clockwise). Returns a file_id (for chaining) and a ~1h download URL.

• watermark_pdf

  Stamp a diagonal grey text watermark (e.g. "DRAFT", "CONFIDENTIAL") across every page of a PDF. Returns a file_id (for chaining) and a ~1h download URL.

• extract_pdf_text

  Extract the text content of a PDF — for RAG, summarization, or search. Accepts a file_id (from a prior tool) or a base64-encoded PDF, and returns the text inline. Not OCR: a scanned/image-only PDF returns little or no text.

• images_to_pdf

  Combine PNG/JPEG images (base64) into a PDF, one image per page. Returns a file_id and a ~1h URL.

• markdown_to_pdf

  Render Markdown to a clean, print-styled PDF. Returns a file_id and a ~1h URL.

• split_pdf

  Split a PDF into multiple PDFs — one per page by default, or by page ranges like '1-3;4-6'. Returns a file_id + URL per part.

• read_pdf_form

  List a PDF's form fields (name, type, value, options) as JSON.

• fill_pdf_form

  Fill a PDF's form fields from a map of field -> value; optionally flatten. Returns a file_id and a ~1h URL.

• file_to_markdown

  Convert a Word (.docx), Excel (.xlsx) or CSV file (base64) into clean Markdown — for RAG, agents and pipelines. DOCX keeps headings/lists/tables; spreadsheets become Markdown tables (one per sheet). Returns Markdown inline. Optional…

• data_to_spreadsheet

  Turn rows of data into a downloadable XLSX (default) or CSV. 'rows' is an array of objects (keys → header row) or an array of arrays (first row is the header). Returns a file_id (for chaining) and a ~1h download URL.

• batch_scrape

  Fetch up to 10 public URLs and return each as clean Markdown, in one call — for research/RAG over several pages at once. Private/internal hosts are blocked.

• crawl_site

  Fetch a URL plus up to 7 more same-origin pages it links to (≤8 total), each as clean Markdown. Bounded and synchronous. Private/internal hosts are blocked.

• map_site

  Discover the same-origin URLs linked from a page — the site map, with no page content fetched. Private/internal hosts are blocked.

• extract_data

  Extract specified fields from a web page, PDF, or Office file as JSON, using AI. Provide 'fields' plus ONE source: a 'url', a 'pdf' (file_id or base64), or a 'file' (base64 .docx/.xlsx/.csv). Returns a JSON object mapping each field to…

• summarize_document

  Summarize a web page, PDF, Office file (.docx/.xlsx/.csv), or raw text using AI. Provide ONE source: 'url', 'pdf' (file_id or base64), 'file' (base64), or 'text'. Optional 'max_words'. Returns the summary.

• answer_from_document

  Answer a question grounded ONLY in a source document — a web page, PDF, Office file, or raw text. Provide 'question' plus ONE source: 'url', 'pdf', 'file' (base64), or 'text'. Says so when the answer isn't in the document.

• docx_to_text

  Extract the text of a .docx document (base64). Returns the text inline.

• docx_to_pdf

  Convert a .docx document (base64) to a PDF. Returns a file_id and a ~1h URL.

• read_url

  Fetch a public http/https URL and return its main content as clean Markdown — ideal for giving an agent readable web content for research or RAG. Private/internal hosts are blocked.

• url_to_pdf

  Fetch a public http/https URL and render the live page to a PDF. Returns a file_id (chainable into the PDF tools) and a ~1h download URL. Private/internal hosts are blocked.

• url_to_screenshot

  Fetch a public http/https URL and capture a PNG screenshot. Set full_page for the entire scroll height. Returns a file_id and a ~1h download URL.

• scrape_page

  Fetch a public http/https URL and return its rendered HTML, the links on the page, and page metadata (title/description/OpenGraph/canonical/favicon) — in one render. For clean Markdown use read_url instead. Private/internal hosts are…