CLI and Python SDK for biomedical literature search with MeSH, PICO, and intelligent query expansion
CLI and Python SDK for biomedical literature search with MeSH, PICO, and intelligent query expansion
CLI and Python SDK for biomedical literature search, query analysis, citation export, full-text lookup, and multi-source academic enrichment.
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| Tool | What it does |
|---|---|
| search | Search biomedical literature across PubMed and optional academic sources. |
| strategy | Generate MeSH expansion and search strategy materials. |
| analyze-query | Analyze intent, complexity, identifiers, PICO, and source recommendations without running a search. |
| details | Fetch detailed metadata for one or more PMIDs. |
| export | Export citations as BibTeX, RIS, CSV, MEDLINE, CSL JSON, or JSON. |
| fulltext | Locate full-text access through available source resolvers. |
| text-mined | Retrieve text-mined biomedical terms when source data is available. |
| related | Find related articles for a PMID. |
| metrics | Fetch citation metrics where supported. |
| timeline | Build research timeline summaries from a query or PMID set. |
| cite-tree | Explore citation/reference relationships around a root PMID. |
| pico | Parse a clinical question into PICO-style components. |
{
"mcpServers": {
"pubmed-search-1": {
"command": "uvx",
"args": ["pubmed-search"],
"env": {
"NCBI_EMAIL": "your-value",
"NCBI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| NCBI_EMAIL | Configuration value read at startup. | Optional |
| NCBI_API_KEY | Credential the server authenticates with. | Yes |
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Scholarly search: OpenAlex, Crossref, arXiv, OpenCitations and PubMed in one endpoint.
A comprehensive Model Context Protocol (MCP) server that provides LLMs with real-time access to scientific papers from 6 major academic sources: arXiv, OpenAlex, PMC (PubMed Central), Europe PMC…
Search PubMed biomedical literature and fetch article summaries. No key required.
50+ biomedical data sources in one MCP server — PubMed, ClinVar, gnomAD, KEGG, and more
MCP有多火,已经不需要我再赘述。作为一项新兴技术,中文互联网上对如何开发MCP服务的资料多如牛毛,但大多数语焉不详或者浅尝辄止,大多数案例都是照搬官方文档的示例简述一下水文。