MCPサーバー

tomesphere

            com.tomesphere/tomesphere
        

科学・工学検索・リサーチ公開・接続可能 MCP 2026-07-28

このMCPでできること

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.

読み取り専用外部アクセスあり

入力スキーマ

{'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.

読み取り専用外部アクセスあり

入力スキーマ

{'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.

読み取り専用外部アクセスあり

入力スキーマ

{'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/…).

読み取り専用外部アクセスあり

入力スキーマ

{'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.

読み取り専用外部アクセスあり

入力スキーマ

{'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.

読み取り専用外部アクセスあり

入力スキーマ

{'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'.

読み取り専用外部アクセスあり

入力スキーマ

{'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'.

読み取り専用外部アクセスあり

入力スキーマ

{'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'.

読み取り専用外部アクセスあり

入力スキーマ

{'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.'}}}

追加

                            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

追加

                            search_papers
                        

2026年9月17日12:38

サーバー情報

バージョン

0.1.0

通信方式

Streamable HTTP

ツール

レイテンシ

810 ms

最終スキャン

2026年10月1日2:54

初回確認

2026年9月13日2:13

エンドポイント

https://mcp.tomesphere.com/api/mcp

tomesphere

このMCPでできること

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