io.github.rachadele/biolit
Quality Score
80
/100
LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.
§01 Install
Claude Desktop (uvx)
{
"mcpServers": {
"biolit": {
"command": "uvx",
"args": [
"biolit"
],
"env": {
"ANTHROPIC_API_KEY": "<your-anthropic_api_key>",
"OPENAI_API_KEY": "<your-openai_api_key>",
"LLM_PROVIDER": "<llm_provider>",
"LLM_MODEL": "<llm_model>",
"SEMANTIC_SCHOLAR_API_KEY": "<your-semantic_scholar_api_key>",
"UNPAYWALL_EMAIL": "<unpaywall_email>"
}
}
}
}§02 Environment variables
ANTHROPIC_API_KEYsecret
Anthropic API key (required when using the default Anthropic provider)
OPENAI_API_KEYsecret
OpenAI API key (required when using LLM_PROVIDER=openai)
LLM_PROVIDERLLM provider: anthropic (default), openai, or ollama
LLM_MODELModel name override (e.g. claude-sonnet-4-6, gpt-4o)
SEMANTIC_SCHOLAR_API_KEYsecret
Semantic Scholar API key for higher rate limits on citation lookup (optional)
UNPAYWALL_EMAILEmail address for Unpaywall API access to improve PDF retrieval (optional)
§03 MCP Quality Score · methodology
freshness
25
completeness
10
installability
25
documentation
15
stability
5
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