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  1. Home
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  3. Code of Paper
Code of Paper logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:38:33 PM

Code of Paper

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Find GitHub implementations of arXiv research papers β€” paper lookup, ranked code, search.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "code-of-paper": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Code of Paper CLI

Discover GitHub implementations of research papers β€” from the terminal.

Search 181k+ arXiv papers and find their code on GitHub. Works for humans and AI agents alike.

PyPI Python 3.10+ License: MIT

Install

Terminal
pip install codeofpaper

Or with pipx for isolated installs:

bash
pipx install codeofpaper

Requires Python 3.10+. No API key needed β€” works anonymously at 60 requests/minute.

Quick Start

bash
# Search for papers
codeofpaper search "vision transformers"

# Get paper details (arXiv IDs or full URLs both work)
codeofpaper paper 2010.11929
codeofpaper paper https://arxiv.org/abs/2010.11929

# Find code implementations
codeofpaper code 1706.03762

# Browse trending papers with code
codeofpaper trending --has-code

# JSON output for scripts and agents
codeofpaper -o json trending | jq '.trending[] | {title, stars: .max_stars}'

# One-shot reproducibility context for an agent: paper + confident repos
# (with tier + framework + license) + fork-graph in a single JSON payload.
codeofpaper -o json paper 2010.11929 | jq '{title, repos: [.repos[] | {full_name, tier}], forks: [.fork_graph[] | .full_name]}'

# Literature review in one command
codeofpaper research "reinforcement learning" --depth deep

Output Formats

Use -o / --output before the subcommand:

bash
codeofpaper -o json paper 2010.11929
codeofpaper -o quiet search "attention" | head -5
codeofpaper -o csv trending --has-code > papers.csv
FormatFlagUse case
Table-o tableHuman reading (default)
JSON-o jsonScripts, jq pipelines, full response data
Quiet-o quietIDs only, one per line β€” pipe into other commands
JSONL-o jsonlStreaming, append to files, batch processing
BibTeX-o bibtexCitation managers, LaTeX bibliographies
CSV-o csvSpreadsheets, pandas, data analysis

The shorthand -q is equivalent to -o quiet:

bash
codeofpaper -q search "transformers" | head -3

You can set a default format via config so you don't need -o every time:

bash
codeofpaper auth setup    # then edit ~/.config/codeofpaper/config.json

Commands

Discovery

CommandDescriptionExample
searchFull-text paper searchcodeofpaper search "vision transformers" --has-code
paperPaper details by arXiv ID or URLcodeofpaper paper 2010.11929
codeGitHub repos implementing a papercodeofpaper code 1706.03762
similarSemantically similar paperscodeofpaper similar 2010.11929
suggestAutocomplete / quick lookupcodeofpaper suggest "attention"
randomRandom interesting papercodeofpaper random --quality high

Browsing

CommandDescriptionExample
trendingTrending papers by categorycodeofpaper trending --category cs.CV --sort hot
categoriesList categories or get detailscodeofpaper categories cs.AI
conferencesList all conference seriescodeofpaper conferences
conferencePapers from a specific conferencecodeofpaper conference neurips_2024 --has-code
code-dropsRecent conference papers with new codecodeofpaper code-drops --days 7
repoReverse lookup: repo β†’ papercodeofpaper repo google-research/vision_transformer
openOpen paper or repo in browsercodeofpaper open 2010.11929 --code

Bulk Operations

CommandDescriptionExample
researchStructured research overviewcodeofpaper research "RL" --depth deep
batchProcess multiple IDs from stdin/filecat ids.txt | codeofpaper batch paper
exportPaginated bulk exportcodeofpaper export trending -o csv > out.csv

Configuration

CommandDescriptionExample
authManage API key (setup/status/clear)codeofpaper auth status
statusCheck API health and statscodeofpaper status

Command Details

search

bash
codeofpaper search "reinforcement learning" --sort has_code --has-code
codeofpaper search "GAN" --limit 20 --offset 10

Options: --limit, --offset, --sort (relevant, recent, has_code), --has-code, --category.

research

Multi-step orchestrated overview of a research topic:

bash
codeofpaper research "vision transformers" --depth deep
DepthStepsAPI calls
shallowSearch only + landscape statistics1
mediumSearch + repos for top papers (default)~6
deepSearch + repos + similar papers from #1~8

batch

Process multiple queries or IDs from a file or stdin. Always outputs JSONL regardless of -o:

bash
# From a file
codeofpaper batch paper ids.txt

# From stdin
echo -e "2010.11929\n1706.03762" | codeofpaper batch paper

# Pipe from another command
codeofpaper -q similar 2010.11929 | codeofpaper batch code

Supported commands: paper, search, code, similar, suggest.

Each line produces one JSON object:

config.json
{"input": "2010.11929", "status": "ok", "data": {...}}
{"input": "9999.99999", "status": "error", "error": "Not found"}

Options: --delay (seconds between calls, default 0.5).

export

Paginated bulk export from trending, conference, or search:

server.ts
codeofpaper export trending --category cs.CV --has-code -o csv > cv.csv
codeofpaper export conference neurips_2024 --has-code -o bibtex > neurips.bib
codeofpaper export search "transformers" --max 500 -o jsonl > data.jsonl

Auto-paginates through results (100 per page, 0.5s delay). Options: --max (default 200), --has-code, --category, --days.

Agent Integration

The CLI is designed for AI agent consumption. Key features:

Stable Exit Codes

Agents can branch on exit codes without parsing error messages:

Exit CodeMeaningAgent Action
0SuccessParse stdout
1General errorLog and report
2Connection errorRetry with backoff
3Not found (404)Skip or try different ID
4Rate limited (429)Wait and retry
5Auth required (401/403)Run codeofpaper auth setup

Machine-Readable Output

bash
# JSON for structured parsing
codeofpaper -o json paper 2010.11929 | jq '.title'

# Quiet mode for ID lists
codeofpaper -q search "attention" | head -5

# JSONL for streaming
codeofpaper -o jsonl trending --has-code | while read -r line; do
  echo "$line" | jq -r '.arxiv_id'
done

HTTP Cache

Responses are cached on disk for 30 minutes (~/.cache/codeofpaper/http/), so repeated calls are instant and free.

MCP Server (optional)

Code of Paper ships an optional Model Context Protocol server that exposes paper / code lookup as tools to any MCP-compatible agent β€” Claude Desktop, Cursor, Continue, Cline, Zed, etc.

Install with the mcp extra:

Terminal
pip install 'codeofpaper[mcp]'
# or, with uv:
uv tool install 'codeofpaper[mcp]'

This adds a codeofpaper-mcp entry point that speaks MCP over stdio.

Wire into Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS), %APPDATA%\Claude\claude_desktop_config.json (Windows), or ~/.config/Claude/claude_desktop_config.json (Linux):

config.json
{
  "mcpServers": {
    "codeofpaper": {
      "command": "uvx",
      "args": ["--from", "codeofpaper[mcp]", "codeofpaper-mcp"]
    }
  }
}

This pulls + runs the server on demand β€” no global install needed. If you've already pip install'd the package, you can replace the command with just "codeofpaper-mcp" and drop args.

Wire into Cursor / Continue / Cline

Most MCP clients accept the same shape:

config.json
{
  "mcpServers": {
    "codeofpaper": {
      "command": "codeofpaper-mcp",
      "env": {
        "CODEOFPAPER_API_URL": "https://api.codeofpaper.com"
      }
    }
  }
}

Tools exposed

ToolPurpose
paper_lookup(paper_id_or_url)Paper metadata + confident-tier repos
code_for_paper(paper_id_or_url, limit, include_possible)Ranked GitHub repos implementing a paper
search_papers(query, limit, year, venue, has_code)Free-text paper search with filters

All tools are read-only, return plain JSON, and surface API errors as {"error": "...", "status": N} rather than throwing β€” agents get structured output either way.

Common Workflows

Core Discovery

bash
# Find papers with code about a topic
codeofpaper search "reinforcement learning" --sort has_code --has-code

# Get the best repo for a specific paper
codeofpaper code 1706.03762

# Accepts arXiv URLs β€” no need to extract the ID
codeofpaper paper https://arxiv.org/abs/2010.11929

# Reverse lookup: what paper does this repo implement?
codeofpaper repo google-research/vision_transformer

# Open a paper in the browser, or jump straight to its code
codeofpaper open 2010.11929
codeofpaper open 2010.11929 --code

Browsing & Monitoring

bash
# What's trending in computer vision?
codeofpaper trending --category cs.CV --sort hot

# Conference papers that just got new code
codeofpaper code-drops --days 7

# NeurIPS 2024 oral papers with code
codeofpaper conference neurips_2024 --track oral --has-code

# Daily monitoring: what's new in my field?
codeofpaper trending --category cs.CV --days 1 -o json >> ~/research/daily_cv.jsonl

Composable Pipelines

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Code of Paper

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "code-of-paper": { "command": "npx", "args": ["-y", "Code of Paper"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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