PreteWorks MCP server
Which MCP servers are PreteWorks's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-25
- Registry namecom.preteworks/preteworks-apiverified in the MCP registry
The registry name sits under preteworks.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-25
- Tools29
- Server calls itselfpreteworks
- Server version1.1.0
- Protocol version2025-06-18
On 2026-10-25 the server answered initialize and tools/list without a sign-in. First answer in 1571 ms.
- Its tools do every use case we checked: 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.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- For "Turn a web page into markdown or structured data", the likely first call is read_url.
- For "Summarize documents and answer questions about their contents", the likely first call is summarize_document.
- set_pdf_metadata change data without a sign-in: anyone with the address can call them.
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: 3 so far
- What an agent can do with it3 of 3 use cases
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer1898 ms
- Space in an agent's context≈ 3,802 tokensthe definitions of all its tools (29), which an agent carries on every turn
- Tool definitionsA · 99 of 100
- Typed results0 of 29 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 1 of 29
What an agent can do with it
- can do · Turn a web page into markdown or structured data
- can do · Convert HTML, documents or spreadsheets into PDFs or screenshots
- can do · Summarize documents and answer questions about their contents
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
- Tools that change data, on a server that answers without a sign-in: set_pdf_metadata
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_html_to_pdfRender 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_pdfStamp 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_infoRead a PDF's metadata (title, author, subject, keywords, creator, producer, dates) plus page count and page size, as JSON.
set_pdf_metadataSet 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_documentRender 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_pdfsCombine 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_pagesKeep 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_pdfRotate every page of a PDF by 90, 180, or 270 degrees (clockwise). Returns a file_id (for chaining) and a ~1h download URL.
watermark_pdfStamp 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_textExtract 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_pdfCombine PNG/JPEG images (base64) into a PDF, one image per page. Returns a file_id and a ~1h URL.
markdown_to_pdfRender Markdown to a clean, print-styled PDF. Returns a file_id and a ~1h URL.
split_pdfSplit 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_formList a PDF's form fields (name, type, value, options) as JSON.
fill_pdf_formFill a PDF's form fields from a map of field -> value; optionally flatten. Returns a file_id and a ~1h URL.
file_to_markdownConvert 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_spreadsheetTurn 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_scrapeFetch 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_siteFetch 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_siteDiscover the same-origin URLs linked from a page — the site map, with no page content fetched. Private/internal hosts are blocked.
extract_dataExtract 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_documentSummarize 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_documentAnswer 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_textExtract the text of a .docx document (base64). Returns the text inline.
docx_to_pdfConvert a .docx document (base64) to a PDF. Returns a file_id and a ~1h URL.
read_urlFetch 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_pdfFetch 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_screenshotFetch 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_pageFetch 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"preteworks-api": {
"type": "http",
"url": "https://api.preteworks.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http preteworks https://api.preteworks.com/mcpclaude.ai, ChatGPT and other clients: add https://api.preteworks.com/mcp as a custom connector in the settings.
OpenAPI spec
12 paths, read 2026-10-25. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Cookies
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