pip install codeofpaper

pipx install codeofpaper

# 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

codeofpaper -o json paper 2010.11929
codeofpaper -o quiet search "attention" | head -5
codeofpaper -o csv trending --has-code > papers.csv

codeofpaper -q search "transformers" | head -3

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

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

codeofpaper research "vision transformers" --depth deep

# 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

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

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

# 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

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

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

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

# 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 — 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

# 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

# Find implementations of a paper's related work
codeofpaper similar 2010.11929 -o quiet | codeofpaper batch code

# Batch process a reading list
cat reading_list.txt | codeofpaper batch paper > enriched.jsonl

# Cross-reference with GitHub CLI
codeofpaper code 1706.03762 -o quiet | head -1 | xargs gh repo view

# Export conference papers as BibTeX
codeofpaper export conference neurips_2024 --has-code -o bibtex > neurips2024_code.bib

# Bulk export a category for meta-analysis
codeofpaper export trending --category cs.CV --has-code --days 365 -o csv > cv_with_code.csv

# Find a paper → get top repo → clone it
REPO=$(codeofpaper search "attention is all you need" -o quiet | head -1 | \
  xargs codeofpaper code -o json | jq -r '.top_repos[0].full_name')
gh repo clone "$REPO"

# Discover a random paper and explore its neighborhood
ID=$(codeofpaper random --quality high -o quiet)
codeofpaper paper "$ID"
codeofpaper similar "$ID"
codeofpaper code "$ID"

# Quick paper lookup in a script
ARXIV_ID="2010.11929"
TITLE=$(codeofpaper -o json paper "$ARXIV_ID" | jq -r '.title')
echo "Paper: $TITLE"

{
  "api_url": "https://api.codeofpaper.com",
  "api_key": null,
  "default_format": "table",
  "ca_bundle": null
}

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# 1. CLI flag (per-invocation)
codeofpaper --ca-bundle /path/to/corporate-ca.pem search "transformers"

# 2. Environment variable (per-session or in .bashrc/.zshrc)
export CODEOFPAPER_CA_BUNDLE=/path/to/corporate-ca.pem

# 3. Config file (permanent — set once, forget)
# Add to ~/.config/codeofpaper/config.json:
#   {"ca_bundle": "/path/to/corporate-ca.pem"}

cop search "transformers"
cop -o json trending | jq '.'

codeofpaper --install-completion

codeofpaper --help          # List all commands
codeofpaper search --help   # Help for a specific command
codeofpaper -v              # Print version