Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
HTML and Markdown to PDF with page previews, PDF text and merging. No browser, no network.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server PdfPecker for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "pdfpecker": { "command": "uvx", "args": [ "pdfpecker", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the PdfPecker tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
uv --versionMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
SettingsDeveloperEdit Config
{
"mcpServers": {
"pdfpecker": {
"command": "uvx",
"args": [
"pdfpecker",
"mcp"
]
}
}
}Use PdfPecker and tell me what you can do for me, then show me one thing✓ If Claude says it is using PdfPecker or shows a PdfPecker tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect PdfPecker yet
PdfPecker runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect PdfPecker
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server PdfPecker for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user pdfpecker -- uvx pdfpecker mcp 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the PdfPecker tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
uv --versionMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user pdfpecker -- uvx pdfpecker mcpYou should see PdfPecker listed as connected
Use PdfPecker and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using PdfPecker or shows a PdfPecker tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server PdfPecker for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "pdfpecker": { "command": "uvx", "args": [ "pdfpecker", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the PdfPecker tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
uv --versionMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Use PdfPecker and tell me what you can do for me, then show me one thing✓ If Cursor says it is using PdfPecker or shows a PdfPecker tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server PdfPecker for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "pdfpecker": { "type": "stdio", "command": "uvx", "args": [ "pdfpecker", "mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the PdfPecker tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
uv --versionMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Use PdfPecker and tell me what you can do for me, then show me one thing✓ If VS Code says it is using PdfPecker or shows a PdfPecker tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add --scope user pdfpecker -- uvx pdfpecker mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"pdfpecker": {
"command": "uvx",
"args": [
"pdfpecker",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"pdfpecker": {
"command": "uvx",
"args": [
"pdfpecker",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"pdfpecker": {
"type": "stdio",
"command": "uvx",
"args": [
"pdfpecker",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: pdfpeckerBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026
The registry name was verified with the GitHub account Moonwalker1307, which owns the repo
Code last changed 3 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
No entries on OSV.dev for pdfpecker@1.25.0
Checks only this package version, not every dependency · checked Nov 15, 2026
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 3 days ago, and the latest version (1.25.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Puter MCP, XcodeBuildMCP, Anki MCP Server, Sosumi, Zapier
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
Search and read Apple developer documentation, HIG, and WWDC transcripts as Markdown.
Connects AI to thousands of apps through one Zapier server, such as Gmail, Google Sheets and Slack. You choose which actions the AI may use.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Fast HTML and Markdown to PDF, and PDF to images and text, for Python. No browser, no dependencies, no .NET to install.
pip install pdfpecker
import pdfpecker
pdf = pdfpecker.html_to_pdf(" Invoice 42 Total: 1,250.00 EUR ") pdfpecker.html_file_to_pdf("templates/invoice.html", "invoice.pdf") # images and CSS resolve next to the file pdfpecker.markdown_file_to_pdf("README.md", "readme.pdf")
pngs = pdfpecker.pdf_to_images(pdf, dpi=96) # one PNG per page (or format="jpeg"/"webp") text = pdfpecker.pdf_to_text(pdf) # pages separated by \f both = pdfpecker.merge_pdfs([pdf, "terms.pdf"])
This is the PdfPecker .NET library, compiled ahead of time into a native library that ships inside the wheel. PdfPecker has its own HTML parser, CSS engine, layout engine, PDF writer and PDF renderer, so a conversion takes about a millisecond for a one-page invoice and never starts a browser. The package version is the library version it holds. Documentation of what PdfPecker renders, its CSS support and its limitations: pdfpecker.net/docs.
Wheels for Linux (glibc 2.28+ and musl, x86-64 and ARM64), macOS (Apple Silicon and Intel) and Windows (x64 and ARM64), on Python 3.9 and later. Each wheel is about 9 MB and has no Python or system dependencies.
From Python, on a 4-core Linux cloud VM, median time per document after warm-up; the documents are the benchmark pages of the PdfPecker repository:
| Invoice, 1 page | Feature tour, 5 pages | Report, 29 pages | Start-up and first PDF | Peak memory, one PDF | |
|---|---|---|---|---|---|
| pdfpecker | 0.7 ms | 2.9 ms | 32 ms | 57 ms | 32 MB |
| Chromium 153 via Playwright | 24 ms | 48 ms | 290 ms | 735 ms | 542 MB |
| xhtml2pdf 0.2.28 | 33 ms | 209 ms | 2.9 s | 453 ms | 63 MB |
| WeasyPrint 70.0 | 324 ms | 797 ms | 4.2 s | 1.1 s | 75 MB |
Every function takes bytes or a path for PDFs, raises a subclass of PdfPeckerError on failure, is thread-safe and releases the GIL while it works, so threads convert in parallel.
| Function | Returns |
|---|---|
html_to_pdf(html, **options) | PDF bytes from an HTML str or UTF-8 bytes |
html_file_to_pdf(path, output=None, **options) | PDF bytes, also written to output when given; base_dir is the file's folder |
markdown_to_pdf(markdown, **options) | PDF bytes from CommonMark with GitHub tables, task lists, strikethrough and footnotes |
markdown_file_to_pdf(path, output=None, **options) | as html_file_to_pdf |
pdf_to_images(pdf, dpi=150, format="png", pages=None, width=None, height=None, transparent=False, quality=None, password=None) | a list of encoded images, one per page |
pdf_to_text(pdf, pages=None, password=None, order="reading") | the text in reading order, pages separated by \f; order="top_to_bottom" reads across columns as before 1.24.0 |
pdf_to_text_pages(pdf, pages=None, password=None, order="reading") | a list with the text of each page |
pdf_to_markdown(pdf, pages=None, include_links=True, include_annotations=True, include_images=False, page_comments=False, max_pages=None, password=None) | GitHub Flavored Markdown of any PDF: headings, lists and tables in reading order, for search indexes and language models |
pdf_page_count(pdf, password=None) | the number of pages |
merge_pdfs(pdfs, title=None, author=None, bookmarks=True, creation_date=None) | one PDF from several |
pdf_to_pdfa(pdf, output=None, conformance="PDF/A-2b") | any PDF converted to PDF/A-2b, -2u, -3b or -3u, as a PdfAResult with pdf, changes, problems and is_conformant |
redact_pdf(pdf, output=None, text=None, pattern=None, areas=None, ignore_case=False, fill_color="#000000") | any PDF with the matching text, or the (page, x, y, width, height) areas in points, removed from the file (text, image pixels, shapes, links and fields), not only covered |
read_barcodes(data, formats=None, try_inverted=True, pages=None, password=None, dpi=None) | the QR, Data Matrix, Code 128 and EAN-13 codes in an image or the pages of a PDF, as Barcode objects with format, text, data, is_gs1, page, position and corners |
library_version() | the version of the PdfPecker library inside |
pages takes a page number, a list of numbers, or a range such as "1-3,5", "8-" or "last", numbered from 1. Every function also takes timeout in seconds.
Options of the HTML and Markdown functions:
| Option | Meaning |
|---|---|
base_dir | The folder relative image, stylesheet and font paths resolve against. Without it, a document from a string loads no local files. |
allow_file_access | Let the document read files outside base_dir too. Only for HTML you trust. |
page_size, landscape | "A3", "A4" (default), "A5", "Letter", "Legal" or (width_mm, height_mm). A CSS @page { size } rule wins. |
margin | In points (72 per inch): one number or (top, right, bottom, left). Default 36. CSS @page { margin } wins. |
scale, shrink_to_fit | Zoom the content; shrink content wider than the page (on by default). |
header_text, footer_text | A line of text in the top or bottom margin; {page} and {pages} are replaced. CSS margin boxes (@top-center, ...) do more. |
fonts, use_system_fonts | TrueType/OpenType files or folders that CSS font-family can name; or look families up among the installed fonts. |
title, author, subject, keywords, language | Document properties. |
user_style_sheet | CSS applied after the document's own. |
creation_date | A fixed date (datetime, date or Unix seconds): the output is then byte-identical from run to run. |
conformance | "PDF/A-2b", "PDF/A-3b", "PDF/A-2u", "PDF/A-3u", "PDF/A-2a", "PDF/A-3a", "PDF/A-4" or "PDF/A-4f". Level A always writes a tagged structure tree and a language. |
accessibility | "tagged", "PDF/UA-1" or "PDF/UA-2". |
compress, bookmarks, max_pages | Compress streams (on); bookmarks from headings (on); stop beyond this many pages (100,000). |
Errors: PdfPeckerArgumentError (also a ValueError) for bad options, PdfReadError for input that is not a readable PDF, PdfPasswordError, PdfLimitError for max_pages and the size limits, PdfTimeoutError (also a TimeoutError) and PdfFileError (also an OSError) for a font or file that cannot be read.
pdfpecker suits code that an agent writes and runs in a sandbox: one pip install, nothing to download at run time, no browser to launch, and errors that say what went wrong. A few things to tell the agent:
@page rules, for example @page { size: A4; margin: 20mm; @bottom-center { content: "Page " counter(page) " of " counter(pages) } }.base_dir (or data: URIs), never from the network.fonts=[...] with a font that covers the script, or use_system_fonts=True.pdf_to_images(pdf, dpi=60) and look at the pages, or read it with pdf_to_text.The package includes a Model Context Protocol server, so chat apps and coding agents that speak MCP can make PDFs, look at their pages and read them. It runs over stdio and needs nothing but this package:
claude mcp add pdfpecker -- uvx pdfpecker mcp # Claude Code
For Claude Desktop and other apps that read an mcpServers setting:
{ "mcpServers": { "pdfpecker": { "command": "uvx", "args": ["pdfpecker", "mcp", "--root", "/Users/me/Documents/pdfs"] } } }
| Tool | What it does |
|---|---|
html_to_pdf | HTML (inline or a file) to a PDF file, with previews of the first pages to check the layout |
markdown_to_pdf | the same for Markdown |
render_pdf_pages | PNG images of up to 20 pages, for the model to look at |
pdf_to_text | the text of a PDF, page by page |
pdf_to_markdown | any PDF as Markdown, returned or written to a file |
pdf_to_pdfa | any PDF converted to PDF/A, with what changed and what could not be fixed |
pdf_info | page count and file size |
merge_pdfs | several PDF files into one |
The tools read and write files only inside the --root folders (repeatable), because the model picks the paths. The default is the current folder, or ~/PdfPecker when the server starts in the filesystem's root, as chat apps often do. python -m pdfpecker mcp runs the same server without uvx.
The wheel's native library is built from the released PdfPecker NuGet package named in PDFPECKER_VERSION. It needs the .NET 10 SDK with the NativeAOT prerequisites (clang on Linux, Xcode on macOS, the Visual Studio C++ tools on Windows):
ci/build.sh linux-x64 manylinux_2_39_x86_64 # RID and wheel tag; builds, packs and tests the wheel
Or by hand: dotnet publish native/PdfPecker.Native.csproj -c Release -r linux-x64, copy pdfpecker_native.so (.dylib, .dll) into src/pdfpecker/, and run pytest. PDFPECKER_NATIVE_LIB points the package at a library elsewhere.
The C ABI (native/Exports.cs) is one function, pdfpecker_invoke(op, input, input_len, options_json, &output, &output_len, &error), plus pdfpecker_free, pdfpecker_version and pdfpecker_abi_version, so other languages with an FFI can use the same library.
A PdfPecker release on NuGet is followed by a pull request here that changes PDFPECKER_VERSION. Once it is merged, the owner publishes a GitHub release tagged v ; the Wheels workflow builds the eight wheels again, checks the tag against PDFPECKER_VERSION and uploads them to PyPI with Trusted Publishing. It then lists the new version of the MCP server (server.json) in the official MCP Registry.
MIT. The wheel also contains the .NET runtime, zlib-ng and the fonts and data PdfPecker bundles, each under its own license: see THIRD-PARTY-NOTICES.md.