OneCite Reference Guide
SkillDev toolsAI toolkit to parse, complete, and format academic references
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Then ask your AI: use the OneCite Reference Guide skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/writing/citation/onecite-reference-guide/SKILL.md and read by ahel’s review.
Overview
OneCite is an AI-powered toolkit for parsing, completing, and formatting academic references. Given incomplete or messy citation strings, it extracts structured metadata, fills in missing fields via API lookups (CrossRef, OpenAlex), and outputs clean formatted references in any style (APA, MLA, BibTeX, Chicago). Available as a Python library and MCP server for agent integration.
Installation
# Python package
pip install onecite
# MCP server
npx @onecite/mcp-server
Reference Parsing
from onecite import parse_reference
# Parse messy reference string
ref = parse_reference(
"Vaswani et al. Attention Is All You Need. "
"NeurIPS 2017. arXiv:1706.03762"
)
print(ref.title) # "Attention Is All You Need"
print(ref.authors) # ["Vaswani, A.", "Shazeer, N.", ...]
print(ref.year) # 2017
print(ref.venue) # "NeurIPS"
print(ref.arxiv_id) # "1706.03762"
print(ref.doi) # "10.48550/arXiv.1706.03762"
Metadata Completion
from onecite import complete_reference
# Fill in missing metadata from APIs
ref = complete_reference(
title="Attention Is All You Need",
# Automatically looks up: DOI, authors, venue,
# abstract, citation count, pages, volume
)
print(f"DOI: {ref.doi}")
print(f"Authors: {', '.join(ref.authors)}")
print(f"Pages: {ref.pages}")
print(f"Volume: {ref.volume}")
print(f"Citations: {ref.citation_count}")
Format Conversion
from onecite import format_reference, parse_reference
ref = parse_reference(
"B. Kerbl et al., '3D Gaussian Splatting for Real-Time "
"Radiance Field Rendering,' SIGGRAPH 2023"
)
# Output in different styles
print(format_reference(ref, style="apa"))
# Kerbl, B., Kopanas, G., Leimkühler, T., & Drettakis, G.
# (2023). 3D Gaussian Splatting for Real-Time Radiance Field
# Rendering. ACM SIGGRAPH 2023.
print(format_reference(ref, style="bibtex"))
# @inproceedings{kerbl2023,
# title = {3D Gaussian Splatting...},
# author = {Kerbl, Bernhard and ...},
# booktitle = {ACM SIGGRAPH 2023},
# year = {2023}
# }
print(format_reference(ref, style="mla"))
print(format_reference(ref, style="chicago"))
print(format_reference(ref, style="ieee"))
Batch Processing
from onecite import process_references
# Process a list of raw reference strings
raw_refs = [
"Vaswani et al. Attention Is All You Need. NeurIPS 2017",
"Devlin et al. BERT. NAACL 2019",
"Brown et al. Language Models are Few-Shot Learners. 2020",
]
results = process_references(
raw_refs,
complete=True, # Fill missing metadata
format="bibtex", # Output format
deduplicate=True, # Remove duplicates
)
# Save as .bib file
with open("references.bib", "w") as f:
for ref in results:
f.write(ref.formatted + "\n\n")
MCP Server Usage
{
"mcpServers": {
"onecite": {
"command": "npx",
"args": ["@onecite/mcp-server"],
"tools": [
"parse_reference",
"complete_reference",
"format_reference",
"search_paper",
"get_bibtex"
]
}
}
}
Reference Validation
from onecite import validate_references
# Check a .bib file for issues
issues = validate_references("references.bib")
for issue in issues:
print(f"[{issue.severity}] {issue.entry}: {issue.message}")
# [WARNING] smith2023: Missing DOI
# [ERROR] jones2024: Author field empty
# [INFO] chen2022: Title case inconsistency
Use Cases
- Reference cleanup: Fix messy bibliographies
- Format conversion: Convert between citation styles
- Metadata completion: Fill in missing DOIs, pages, venues
- Agent integration: MCP server for AI citation workflows
- Validation: Check references for completeness and errors
References
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
onecite-reference-guide- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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