PubMed search, fetch, and parse library with optional MCP server for AI agents
Project description
pubmed-lib
PubMed search, fetch, and parse for Python apps and AI agents.
MCP quickstart
uv add "pubmed-lib[mcp]"
export ENTREZ_EMAIL=you@example.com
pubmed-mcp
Add to Cursor mcp.json (local repo — adjust path):
{
"mcpServers": {
"pubmed": {
"command": "uv",
"args": ["--directory", "/Users/matu/Xcode/pubmed_lib", "run", "pubmed-mcp"],
"env": {
"ENTREZ_EMAIL": "you@example.com"
}
}
}
}
After PyPI publish, you can use "command": "uvx", "args": ["pubmed-mcp"] instead.
Remote SSE:
MCP_API_KEY=<32+ chars> ENTREZ_EMAIL=you@example.com \
pubmed-mcp --transport sse --port 8000
See docs/mcp.md for tool reference and security notes.
Python library
uv add pubmed-lib
from pubmed_lib import PubMedClient
client = PubMedClient(email="you@example.com")
response = client.search_articles("diabetes", max_results=5)
for article in response.articles:
print(article.summary)
See docs/library.md and docs/models.md.
Development
uv sync --all-extras --dev
uv run pytest
See docs/contributing.md and MIGRATION.md.
License
Apache-2.0
Project details
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