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io.github.rachadele/biolit

io.github.rachadele/biolit·v0.1.25·AI & LLMs
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_KEY
secret

Anthropic API key (required when using the default Anthropic provider)

OPENAI_API_KEY
secret

OpenAI API key (required when using LLM_PROVIDER=openai)

LLM_PROVIDER

LLM provider: anthropic (default), openai, or ollama

LLM_MODEL

Model name override (e.g. claude-sonnet-4-6, gpt-4o)

SEMANTIC_SCHOLAR_API_KEY
secret

Semantic Scholar API key for higher rate limits on citation lookup (optional)

UNPAYWALL_EMAIL

Email 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
§04  Alternatives in AI & LLMs