MCP servercom.tomesphere/tomesphere
Search 8.5M scientific papers with LLM TLDRs, citations, linked entities, figures, and full text.
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
36
last 1 hr ago
Tools
9
More info
URL
mcp.tomesphere.com/api/mcp
streamable-http
Says it is
tomesphere-mcp 0.1.0
protocol 2025-03-26
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:932f8ed09e…d7d7d9
| Tool | Schema |
|---|---|
| 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 |
input · no output |
| 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 b |
input · no output |
| 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. |
input · no output |
| 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 |
input · no output |
| 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, |
input · no output |
| 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 |
input · no output |
| references Get the papers that this paper cites (its bibliography). Use when the user asks 'what does X cite' or 'show me the references'. |
input · no output |
| 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 r |
input · no output |
| 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 |
input · no output |
Verify it yourself
npx teppi-check https://mcp.tomesphere.com/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ29H59WAT3ESR8KJENAAX