com.luneresearch/lune
This server is the official MCP server for Lune Research, providing academic paper search, retrieval, analysis, fact-checking, methodology guidance, and conference subscription management across top security, ML, NLP, CV, and systems venues.
Search & Discovery
search_papers: hybrid semantic + BM25 search with natural-language queries.search_papers_many: multi-query literature sweeps, merging results from up to 25 query variants in one call.search_related_papers: find semantically related papers by embedding distance.list_conferences: list indexed conferences, filterable by research category (e.g., AI/ML, security).get_conference_papers: retrieve papers from specific conferences, optionally filtered by year and sorted by recency or citations.
Deep Retrieval & Analysis
get_paper_fulltext: full text in markdown or JSON, with optional section filtering.get_paper_citations: explore citation lineage (cited by / cites).extract_from_papers: extract structured fields (e.g., dataset, model size, accuracy) from up to 50 papers into a typed table.
Fact-Checking & Evidence
verify_claims: fact-check natural-language claims with verdicts (supported, unsupported, insufficient evidence), verbatim quotes, and supporting paper IDs.gather_evidence: assess evidence sufficiency for a research task, identify gaps, and suggest follow-up queries; optionally check support for sentences in a draft.
Methodology Guidance
search_research_guidance: search curated guidance on experimental design, evaluation, reproducibility, paper structure, venue choice, and more.get_research_guidance_doc: retrieve full text of guidance documents from senior researchers and reproducibility checklists.
Conference Subscriptions
list_subscriptions,subscribe_conference,unsubscribe_conference: manage conference subscriptions.get_subscription_updates: get a time-ordered digest of new papers from all subscribed venues with cursor-based pagination.
Guided Workflows (Prompts)
/literature_review: survey a topic and synthesize themes, foundational vs. recent work, and open gaps./find_related_work: find and organize prior work from an abstract./compare_papers: build structured comparison tables across papers./verify_draft: fact-check a draft or list of claims with verbatim quotes./trace_citations: trace a paper's lineage: foundations, follow-on work, and adjacent research./research_methodology: get grounded advice on experiment design, evaluation, rebuttals, or venue choice.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@com.luneresearch/lunesearch for papers on zero-shot learning in computer vision"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@retrograde-labs/lune-mcp-server
Official Model Context Protocol server for Lune Research.
Exposes 12 tools and 6 guided research workflows (prompts) for searching, retrieving, comparing, and fact-checking academic papers across security, ML, NLP, CV, and systems venues, plus retrieval over your own uploaded workspace documents. Two transports:
stdio: run locally via
npx @retrograde-labs/lune-mcp-server. ReadsLUNE_API_KEYfrom the environment.Streamable HTTP: hosted at
https://mcp.luneresearch.com/mcp. Pass your PAT or OAuth token asAuthorization: Bearer ....
Quick start (Claude Desktop, Cursor, etc.)
{
"mcpServers": {
"lune-research": {
"command": "npx",
"args": ["-y", "@retrograde-labs/lune-mcp-server"],
"env": {
"LUNE_API_KEY": "lune_your_personal_access_token"
}
}
}
}Get your token at https://luneresearch.com/dashboard/settings/credentials.
Related MCP server: ScholarMCP
Tools
Tool | Description |
| Hybrid vector + BM25 search across the corpus |
| Run many query variants in one call, RRF-merged |
| Semantically nearest papers to a given paper |
| Parsed full text (markdown or JSON) |
| Citation graph (cited_by or cites) |
| Indexed venues, optionally by category |
| Paginated papers for a venue |
| Structured field extraction across many papers |
| Fact-check claims against the corpus with quotes |
| Judge evidence sufficiency for a task, with gaps + next queries |
| Curated reproducibility / methodology corpus |
| Full text of a guidance document |
Prompts
Reusable research workflows, surfaced by MCP clients as slash commands (e.g. /literature_review). Each runs a guided, multi-tool sequence grounded in the corpus, so common research tasks are one command instead of hand-orchestrating the tools.
Prompt | What it does | Key arguments |
| Survey a topic and synthesise themes, foundational vs recent work, and open gaps |
|
| From your abstract, find and organise prior work to cite and distinguish your contribution from |
|
| Build a structured comparison table across papers, read from full text |
|
| Fact-check a draft or list of claims against the corpus, with a verbatim quote per claim |
|
| Trace a paper's lineage: its foundations, what built on it, and adjacent work |
|
| Grounded advice on experiment design, ablations, evaluation, rebuttals, or venue choice |
|
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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