Download mcp/ncbi_turbo.py from mgbam/MCP_Res: direct link, hf CLI and curl.
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865 Bytes
| import os, asyncio, httpx | |
| from functools import lru_cache | |
| _KEY = os.getenv("NCBI_EUTILS_KEY") | |
| _BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/" | |
| async def _call(ep: str, params: dict, *, t=8): | |
| if _KEY: params["api_key"] = _KEY | |
| async with httpx.AsyncClient(timeout=t) as c: | |
| r = await c.get(f"{_BASE}{ep}", params=params); r.raise_for_status() | |
| return r.json() if r.headers["content-type"].startswith("application/json") else r.text | |
| async def pubmed_ids(term: str, n: int = 20): | |
| data = await _call("esearch.fcgi", {"db":"pubmed","term":term,"retmode":"json","retmax":n}) | |
| return data["esearchresult"]["idlist"] | |
| async def gene_summary(gene_id: str): | |
| data = await _call("esummary.fcgi", {"db":"gene","id":gene_id,"retmode":"json"}) | |
| return list(data["result"].values())[1] | |