MCP 服务器

tomesphere

com.tomesphere/tomesphere
科学与工程 搜索与研究 公开且可连接 MCP 2026-07-28

此 MCP 可以做什么

Searches and retrieves scientific papers, full text, citations, figures, linked biomedical entities, related papers, and protein structure references.

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.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'k': {'type': 'integer', 'default': 25, 'description': 'Max citing papers (default 25, max 100).'}, 'id': {'type': 'string', 'description': 'arXiv ID or OpenAlex Work ID.'}}}
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.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'arXiv ID, PMC ID, or 10.1101/… DOI.'}}}
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.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'arXiv ID, PMC ID, or 10.1101/… DOI.'}}}
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/…).
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'arXiv ID, PMC ID, or 10.1101/… DOI.'}}}
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 when the user names a specific paper or pastes an arXiv link.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "arXiv ID like '2401.12345' or OpenAlex Work ID like 'W4390723197'."}}}
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.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['name'], 'properties': {'name': {'type': 'string', 'description': 'Gene/protein symbol (TP53, CD44) or UniProt accession (P04637).'}}}
references
Get the papers that this paper cites (its bibliography). Use when the user asks 'what does X cite' or 'show me the references'.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'k': {'type': 'integer', 'default': 25, 'description': 'Max references (default 25, max 100).'}, 'id': {'type': 'string', 'description': 'arXiv ID or OpenAlex Work ID.'}}}
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 editing'.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'k': {'type': 'integer', 'default': 10, 'description': 'Number of results (default 10, max 25).'}, 'query': {'type': 'string', 'description': "Natural-language search query. E.g. 'transformer attention efficiency', 'graph neural networks for molecular property prediction'."}, 'year_max': {'type': 'integer', 'description': 'Latest publication year.'}, 'year_min': {'type': 'integer', 'description': 'Earliest publication year, e.g. 2024.'}}}
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'.
只读 可访问外部资源
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'k': {'type': 'integer', 'default': 10, 'description': 'Number of neighbors (default 10, max 25).'}, 'id': {'type': 'string', 'description': 'arXiv ID or OpenAlex Work ID.'}}}
已添加
get_structure
2026年9月17日 12:38
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get_entities
2026年9月17日 12:38
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get_figures
2026年9月17日 12:38
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get_full_text
2026年9月17日 12:38
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references
2026年9月17日 12:38
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citations
2026年9月17日 12:38
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similar_papers
2026年9月17日 12:38
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get_paper
2026年9月17日 12:38
已添加
search_papers
2026年9月17日 12:38