Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.
Search the complete PubMed database of biomedical literature using natural language queries powered by Valyu's semantic search API.
The scripts/search commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
PUBMED_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/pubmed-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$PUBMED_SCRIPT "CRISPR gene editing" 15
When you run a search and receive "setup_required": true, follow this flow:
Ask the user for their API key: "To search PubMed, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
Once the user provides the key, run:
scripts/search setup <api-key>
Retry the original search.
User: Search PubMed for CAR-T cell therapy advances
→ Response: {"success": false, "setup_required": true, ...}
→ Claude asks: "Please provide your Valyu API key from https://platform.valyu.ai"
→ User: "val_abc123..."
→ Claude runs: scripts/search setup val_abc123...
→ Response: {"success": true, "type": "setup", ...}
→ Claude retries: scripts/search "CAR-T cell therapy advances" 10
→ Success!
scripts/search "your natural language query" [maxResults]
# Search for recent COVID-19 research
scripts/search "COVID-19 vaccine efficacy studies" 15
# Find papers on a specific gene
scripts/search "BRCA1 mutations and breast cancer risk" 20
# Search for treatment approaches
scripts/search "immunotherapy for melanoma clinical trials" 10
# Drug mechanism research
scripts/search "mechanism of action of metformin in type 2 diabetes" 12
scripts/search setup <api-key>
{
"success": true,
"type": "pubmed_search",
"query": "CRISPR gene editing",
"result_count": 10,
"results": [
{
"title": "Article Title",
"url": "https://pubmed.ncbi.nlm.nih.gov/...",
"content": "Full article text with figures...",
"source": "pubmed",
"relevance_score": 0.95,
"images": ["https://example.com/figure1.jpg"]
}
],
"cost": 0.025
}
# Get article titles
scripts/search "query" 10 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'
# Find all papers on a topic
scripts/search "mechanisms of aging in humans" 50
# Search for drug targets
scripts/search "novel targets for Alzheimer's disease treatment" 20
# Find clinical trial results
scripts/search "phase 3 trials for rheumatoid arthritis biologics" 15
# Research gene function
scripts/search "role of TP53 in cancer development" 25
All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}
Exit codes:
0 - Success1 - Error (check JSON for details)https://api.valyu.ai/v1/searchscripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLI
Direct API calls using Node.js built-in fetch(), zero external dependencies.
If you're building an AI project and want to integrate PubMed search directly into your application, use the Valyu SDK:
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="immunotherapy for melanoma",
included_sources=["valyu/valyu-pubmed"],
max_results=20
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:500]}...")
import { Valyu } from "valyu-js";
const client = new Valyu("your-api-key");
const response = await client.search({
query: "immunotherapy for melanoma",
includedSources: ["valyu/valyu-pubmed"],
maxResults: 20
});
response.results.forEach((result) => {
console.log(`Title: ${result.title}`);
console.log(`URL: ${result.url}`);
console.log(`Content: ${result.content.substring(0, 500)}...`);
});
See the Valyu docs for full integration examples and SDK reference.