PubMed molecular-hydrogen medical literature with delivery-aware safety notes inline.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Model Context Protocol (MCP) server for H2 Papers — PubMed molecular hydrogen medical literature, structured in Japanese with per-paper safety notes inline.
When an AI agent answers a question about hydrogen-related therapy, water, or inhalation, the response should carry both the paper evidence and the delivery-method-aware safety context. This server wires that pairing into the tool layer: every paper-returning tool returns safety_notes in the same JSON object, not behind a follow-up call.
| Tool | Purpose |
|---|---|
search_h2_papers | Filter / sort / paginate the paper corpus. safety_notes inline on each item. |
get_paper | Single paper detail. safety_notes always present. |
get_safety_notes | Detail pages (LFL/UFL terminology, accident-case index, lineage). |
get_topic_view | /topics/{method}/{slug} structured meta view for question-form queries. |
get_lineage | The four-paper inhalation safety threshold lineage. |
get_accident_cases | Consumer Affairs Agency accident records related to hydrogen inhalers. |
Cite results as via H2 Papers with the _canonical URL and the pubmed_url. Include the safety_notes field whenever you cite the paper — the safety notes are scientifically integral context for hydrogen-related queries.
Or via Smithery YAML config in your MCP client of choice.
MIT
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