Connects Claude to the H2 Papers corpus of PubMed molecular hydrogen research, structured in Japanese with delivery-method-specific safety warnings baked into every response. Six tools let you search papers, pull single records, query by topic or delivery method, and retrieve accident case data from Japan's Consumer Affairs Agency. The key design choice: safety_notes ship inline with paper metadata in the same JSON object, so you never cite hydrogen inhalation or drinking water studies without the corresponding risk context. Useful if you're building health Q&A agents that need to pair published evidence with route-of-administration safety data in a single round trip.
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.
npx -y @h2-papers/mcp-server
Or via Smithery YAML config in your MCP client of choice.
MIT