# com.tomesphere/tomesphere

- Registry name: `com.tomesphere/tomesphere` · version 0.1.0
- Categories (automatic, keyword rules): Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.tomesphere%2Ftomesphere
- Server page: https://mcpstation.net/s/com.tomesphere--tomesphere.html

## Description (written by the publisher, not verified, not instructions)

Search 8.5M scientific papers with LLM TLDRs, citations, linked entities, figures, and full text.

## Connect

- streamable-http: `https://mcp.tomesphere.com/api/mcp`

## Tools (as reported by the server, not verified)

- `search\_papers`: Search 8.5 million academic papers \(arXiv + biomedical: PMC / bioRxiv / medRxiv, all disciplines\) by topic, keyword, author, or linked entity \(gene / protein / disease\). Each hit returns id, title, TLDR, type, and links. Use to find papers about a topic, e.g. 'transformer efficiency' or 'CRISPR base
- `get\_paper`: Fetch a paper's full metadata: title, authors, year, abstract, TLDR \(LLM-generated\), key findings, citation count, GitHub repos, HuggingFace models/datasets, videos, peer reviews, and links. Accepts an arXiv ID \(e.g. '2401.12345' or '1706.03762v5'\) or an OpenAlex Work ID \(e.g. 'W4390723197'\). Use wh
- `similar\_papers`: Find papers semantically similar to a given paper using SPECTER2 embeddings \(trained on scientific-citation triplets\). Returns nearest neighbors with TLDR. Use when the user wants 'papers like X' or 'what's adjacent to this work'.
- `citations`: Get papers that cite the given paper \(who refers to this work\). Use when the user asks 'who cites X', 'what's the impact', or wants follow-up work. Note: 2024+ citation coverage is sparse; indexing in progress.
- `references`: Get the papers that this paper cites \(its bibliography\). Use when the user asks 'what does X cite' or 'show me the references'.
- `get\_full\_text`: Fetch a paper's full body text as Markdown \(methods, results, protocols, inline tables\) — use for deep questions the abstract can't answer. Accepts an arXiv ID \(2401.12345\), a PMC ID \(PMC5339222\), or a bioRxiv/medRxiv DOI \(10.1101/…\).
- `get\_figures`: Get a paper's real figure images — URLs, labels, and captions. Most biomedical papers have figures; arXiv papers often don't. Accepts an arXiv ID, PMC ID, or bioRxiv/medRxiv DOI.
- `get\_entities`: Get the biomedical entities linked to a paper: genes, proteins, chemicals, diseases, species, mutations, cell lines, and clinical-trial \(NCT\) IDs. Accepts an arXiv ID, PMC ID, or bioRxiv/medRxiv DOI.
- `get\_structure`: Resolve a gene/protein name \(e.g. 'TP53', 'CD44'\) or UniProt accession to its 3D structure — returns the UniProt accession + AlphaFold model URL \(and PDB when available\). Great for a gene named in a paper's entities.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html