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Find GitHub implementations of arXiv research papers — paper lookup, ranked code, search.
Find GitHub implementations of arXiv research papers — paper lookup, ranked code, search.
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Set these up before or after installing:
Environment variable: CODEOFPAPER_API_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-isagelswann-codeofpaper": {
"env": {
"CODEOFPAPER_API_URL": "your-codeofpaper-api-url-here"
},
"args": [
"codeofpaper-mcp",
"codeofpaper"
],
"command": "uvx"
}
}
}From the project's GitHub README.
Discover GitHub implementations of research papers — from the terminal.
Search 181k+ arXiv papers and find their code on GitHub. Works for humans and AI agents alike.
pip install codeofpaper
Or with pipx for isolated installs:
pipx install codeofpaper
Requires Python 3.10+. No API key needed — works anonymously at 60 requests/minute.
# 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
Use -o / --output before the subcommand:
codeofpaper -o json paper 2010.11929
codeofpaper -o quiet search "attention" | head -5
codeofpaper -o csv trending --has-code > papers.csv
| Format | Flag | Use case |
|---|---|---|
| Table | -o table | Human reading (default) |
| JSON | -o json | Scripts, jq pipelines, full response data |
| Quiet | -o quiet | IDs only, one per line — pipe into other commands |
| JSONL | -o jsonl | Streaming, append to files, batch processing |
| BibTeX | -o bibtex | Citation managers, LaTeX bibliographies |
| CSV | -o csv | Spreadsheets, pandas, data analysis |
The shorthand -q is equivalent to -o quiet:
codeofpaper -q search "transformers" | head -3
You can set a default format via config so you don't need -o every time:
codeofpaper auth setup # then edit ~/.config/codeofpaper/config.json
| Command | Description | Example |
|---|---|---|
search | Full-text paper search | codeofpaper search "vision transformers" --has-code |
paper | Paper details by arXiv ID or URL | codeofpaper paper 2010.11929 |
code | GitHub repos implementing a paper | codeofpaper code 1706.03762 |
similar | Semantically similar papers | codeofpaper similar 2010.11929 |
suggest | Autocomplete / quick lookup | codeofpaper suggest "attention" |
random | Random interesting paper | codeofpaper random --quality high |
| Command | Description | Example |
|---|---|---|
trending | Trending papers by category | codeofpaper trending --category cs.CV --sort hot |
categories | List categories or get details | codeofpaper categories cs.AI |
conferences | List all conference series | codeofpaper conferences |
conference | Papers from a specific conference | codeofpaper conference neurips_2024 --has-code |
code-drops | Recent conference papers with new code | codeofpaper code-drops --days 7 |
repo | Reverse lookup: repo → paper | codeofpaper repo google-research/vision_transformer |
open | Open paper or repo in browser | codeofpaper open 2010.11929 --code |
| Command | Description | Example |
|---|---|---|
research | Structured research overview | codeofpaper research "RL" --depth deep |
batch | Process multiple IDs from stdin/file | cat ids.txt | codeofpaper batch paper |
export | Paginated bulk export | codeofpaper export trending -o csv > out.csv |
| Command | Description | Example |
|---|---|---|
auth | Manage API key (setup/status/clear) | codeofpaper auth status |
status | Check API health and stats | codeofpaper status |
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.
Multi-step orchestrated overview of a research topic:
codeofpaper research "vision transformers" --depth deep
| Depth | Steps | API calls |
|---|---|---|
shallow | Search only + landscape statistics | 1 |
medium | Search + repos for top papers (default) | ~6 |
deep | Search + repos + similar papers from #1 | ~8 |
Process multiple queries or IDs from a file or stdin. Always outputs JSONL regardless of -o:
# 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:
{"input": "2010.11929", "status": "ok", "data": {...}}
{"input": "9999.99999", "status": "error", "error": "Not found"}
Options: --delay (seconds between calls, default 0.5).
Paginated bulk export from trending, conference, or search:
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.
The CLI is designed for AI agent consumption. Key features:
Agents can branch on exit codes without parsing error messages:
| Exit Code | Meaning | Agent Action |
|---|---|---|
| 0 | Success | Parse stdout |
| 1 | General error | Log and report |
| 2 | Connection error | Retry with backoff |
| 3 | Not found (404) | Skip or try different ID |
| 4 | Rate limited (429) | Wait and retry |
| 5 | Auth required (401/403) | Run codeofpaper auth setup |
# 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
Responses are cached on disk for 30 minutes (~/.cache/codeofpaper/http/), so repeated calls are instant and free.
Code of Paper ships an optional Model Context Protocol server that exposes paper / code lookup as tools to any MCP-compatible agent — Claude Desktop, Cursor, Continue, Cline, Zed, etc.
Install with the mcp extra:
pip install 'codeofpaper[mcp]'
# or, with uv:
uv tool install 'codeofpaper[mcp]'
This adds a codeofpaper-mcp entry point that speaks MCP over stdio.
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):
{
"mcpServers": {
"codeofpaper": {
"command": "uvx",
"args": ["--from", "codeofpaper[mcp]", "codeofpaper-mcp"]
}
}
}
This pulls + runs the server on demand — 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.
Most MCP clients accept the same shape:
{
"mcpServers": {
"codeofpaper": {
"command": "codeofpaper-mcp",
"env": {
"CODEOFPAPER_API_URL": "https://api.codeofpaper.com"
}
}
}
}
| Tool | Purpose |
|---|---|
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 — agents get structured output either way.
# 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"
Config is stored as JSON via platformdirs:
| OS | Path |
|---|---|
| Linux | ~/.config/codeofpaper/config.json |
| macOS | ~/Library/Application Support/codeofpaper/config.json |
| Windows | %APPDATA%\codeofpaper\config.json |
Fields:
{
"api_url": "https://api.codeofpaper.com",
"api_key": null,
"default_format": "table",
"ca_bundle": null
}
No config file needed — everything works out of the box with sensible defaults.
Options are resolved in this order (first wins):
--api-url, --api-key, --ca-bundle, -o)CODEOFPAPER_API_URL, CODEOFPAPER_API_KEY, CODEOFPAPER_CA_BUNDLE, CODEOFPAPER_OUTPUT, CODEOFPAPER_TIMEOUT)If you're behind a corporate proxy that performs TLS inspection (man-in-the-middle), you'll see an SSL error like:
Cannot reach API: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self-signed certificate in certificate chain
To fix this, point the CLI at your corporate CA certificate bundle (PEM file). Three equivalent ways, in priority order:
# 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"}
Ask your IT department for the CA certificate file if you don't have it.
Tip: If you've already set
SSL_CERT_FILEfor other tools (pip, curl, etc.), httpx respects that variable automatically — no extra configuration needed.
copBoth codeofpaper and cop are installed as entry points:
cop search "transformers"
cop -o json trending | jq '.'
Note: If
copconflicts with another tool on your system, usecodeofpaperinstead.
Install tab completion for your shell:
codeofpaper --install-completion
Supports bash, zsh, fish, and PowerShell. After installing, restart your shell or source the completion file.
codeofpaper --help # List all commands
codeofpaper search --help # Help for a specific command
codeofpaper -v # Print version
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