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LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.
LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.
Set these up before or after installing:
Environment variable: ANTHROPIC_API_KEY
Environment variable: OPENAI_API_KEY
Environment variable: LLM_PROVIDER
Environment variable: LLM_MODEL
Environment variable: SEMANTIC_SCHOLAR_API_KEY
Environment variable: UNPAYWALL_EMAIL
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rachadele-biolit": {
"env": {
"LLM_MODEL": "your-llm-model-here",
"LLM_PROVIDER": "your-llm-provider-here",
"OPENAI_API_KEY": "your-openai-api-key-here",
"UNPAYWALL_EMAIL": "your-unpaywall-email-here",
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
"SEMANTIC_SCHOLAR_API_KEY": "your-semantic-scholar-api-key-here"
},
"args": [
"biolit"
],
"command": "uvx"
}
}
}This is a well-structured biomedical literature screening tool with proper authentication patterns and appropriate permissions for its purpose. The code quality is good with comprehensive test coverage, though there are some minor input validation and error handling concerns that could be improved. Supply chain analysis found 13 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
Scanned 4 files · 17 findings
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