Lune
AIMCP server that grounds AI agents in full-text papers from top-tier computer science conferences plus research best practices.
Lune
MCP server that grounds AI agents in full-text papers from top-tier computer science conferences plus research best practices.
About Lune
Lune is an MCP server that connects AI agents such as Claude, ChatGPT and Cursor to full-text papers from A/A* and CCF A computer science venues, excluding workshop, findings, tutorial and short papers. Agents can run semantic search across the corpus, read papers in full, trace citations forward and backward, and check claims against sources. It also exposes a library of research best practices covering literature review, novelty, evaluation design and writing, and indexed talks and notes from well-known researchers. The goal is more trustworthy, citation-backed answers across the research workflow.
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Frequently asked questions about Lune
What is Lune?
MCP server that grounds AI agents in full-text papers from top-tier computer science conferences plus research best practices.
How does Lune work?
Lune works by combining Full-text Semantic Search: Search plain-language queries across papers from top-tier conferences all at once., Full-text Reading: Agents read whole papers via get_paper_fulltext rather than abstracts alone., Citation Tracing: See what a paper builds on and what later work builds on it., Research Best Practices: Guidance on novelty bars, baselines, ablations and review patterns surfaced when relevant., Claim Checking: Verify that cited claims match the source papers. to help users with Literature Review: Find foundational papers and research gaps in a new area., Novelty Checks: Test whether an idea is already covered by prior work., Experiment Design: Get baseline and ablation expectations reviewers will look for., Related-work Writing: Draft positioning paragraphs with citations verified against sources., Peer Review Prep: Check a draft against common review patterns..
What are the main features of Lune?
Key features include Full-text Semantic Search: Search plain-language queries across papers from top-tier conferences all at once., Full-text Reading: Agents read whole papers via get_paper_fulltext rather than abstracts alone., Citation Tracing: See what a paper builds on and what later work builds on it., Research Best Practices: Guidance on novelty bars, baselines, ablations and review patterns surfaced when relevant., Claim Checking: Verify that cited claims match the source papers..
Who is Lune for?
Lune is useful for anyone interested in Literature Review: Find foundational papers and research gaps in a new area., Novelty Checks: Test whether an idea is already covered by prior work., Experiment Design: Get baseline and ablation expectations reviewers will look for., Related-work Writing: Draft positioning paragraphs with citations verified against sources., Peer Review Prep: Check a draft against common review patterns..
How much does Lune cost?
Lune offers a free tier with paid plans for advanced features.
How do I get started with Lune?
Visit https://luneresearch.com/ to sign up and explore Lune.
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