Paperport

Name: Paperport
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/paperport

Install

Overview

Description from the maker (original English)

Search and read arXiv papers, with local paper storage.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "paperport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/paperport",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add paperport -- npx -y @reneturcios/paperport mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "paperport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/paperport",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "paperport": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/paperport",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7246 servers in this category
Published to the registry more recently than 84% of the other 7246 servers in this category
Basic checks equal to or better than 100% of the other 7246 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Paperport safe?

It passed 1 of 1 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

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Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

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.

paperport

paperport is a small desk for arXiv work. It searches the public arXiv API, pulls back titles, authors, dates, categories and abstracts in a tidy shape, fetches the abstract for a single paper when you have its id, and keeps a local shelf of papers you have downloaded so you can list and re-read them later without going back to the network.

Install

npx @reneturcios/paperport search "small language models"

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/paperport

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

Commands print JSON, except read, which prints the stored paper.

# Search, with optional filters

paperport search "attention patterns" --max-results 5 \ --date-from 2024-01-01 --date-to 2024-12-31 --categories cs.CL,cs.LG

One paper's abstract

paperport abstract 2401.12345

Store a paper locally, then list and read the shelf

paperport download 2401.12345 paperport list paperport read 2401.12345

paperport --version

Downloaded papers are stored as .md files in the storage directory: the PAPERPORT_STORAGE_DIR environment variable when set, otherwise ./papers.

Exit codes: 0 on success, 1 when a paper cannot be found, fetched or read, 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/paperport mcp

MCP client configuration:

"mcpServers": { "paperport": { "command": "npx", "args": ["-y", "@reneturcios/paperport", "mcp"] } } }

Tools

Tool	Input	What it returns
`search_papers`	`query` (string, required), `max_results` (integer, optional), `date_from` / `date_to` (strings, optional, `YYYY-MM-DD`), `categories` (array of strings, optional)	A list of papers: `id`, `title`, `summary`, `authors`, `published`, `categories`, and `pdf_url`.
`get_abstract`	`paper_id` (string, required)	The paper's `paper_id`, `title`, `abstract`, `authors`, `published`, and `pdf_url`.
`download_paper`	`paper_id` (string, required)	Stores the paper locally (see the gap note below) and returns its `paper_id`, `title`, storage `path`, and `pdf_url`.
`list_papers`	_(no input)_	The papers on the local shelf: each stored file's `paper_id` and `path`.
`read_paper`	`paper_id` (string, required)	The stored paper's `paper_id` and full text `content`. Errors when the paper has not been downloaded.

Paper ids may be given bare (2401.12345), with a version suffix (2401.12345v2), or as a full arxiv.org/abs/... URL; they are normalised before use.

Known gap: downloaded papers are abstract files, not converted PDFs

The original tool this rebuilds converts each downloaded paper's PDF to markdown. paperport does not do that conversion: download_paper stores the paper's metadata and abstract — title, authors, categories, dates, and links to the abstract page and the PDF — as a markdown file, and read_paper returns that file. The full text of the paper is only available through the linked PDF. This is a deliberate, documented limitation of this version, not a silent one.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

Paperport

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

paperport

Install

CLI

One paper's abstract

Store a paper locally, then list and read the shelf

MCP server

Tools

Known gap: downloaded papers are abstract files, not converted PDFs

Development

License