This MCP server facilitates LLM-assisted biomedical literature screening and structured extraction from various sources, including PubMed and GEO accessions. It accepts mixed lists of identifiers and retrieves full texts while supporting multiple LLM providers.
From the registry: LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.
$ pip install biolitPlease install the `biolit` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install biolit** — Install the biolit Python package from PyPI (ships the biolit-mcp entry point). Run: `pip install biolit` (https://pypi.org/project/biolit/)
- **LLM provider API key** — Default provider is Anthropic. Set ANTHROPIC_API_KEY (or OPENAI_API_KEY, or use a local Ollama model).
Canonical MCP server config (stdio transport):
- command: `biolit-mcp`
- args: []
- optional environment variables:
- `ANTHROPIC_API_KEY`: Anthropic API key (default provider) (example: `<your-anthropic-api-key>`)
- `OPENAI_API_KEY`: OpenAI API key (alternative provider) (example: `<your-openai-api-key>`)
- `LLM_PROVIDER`: Override default provider (anthropic|openai|ollama) (example: `anthropic`)
- `LLM_MODEL`: Override default model (example: `claude-opus-4-6`)
- `SEMANTIC_SCHOLAR_API_KEY`: Optional Semantic Scholar API key for higher rate limits (example: `<your-s2-api-key>`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.ANTHROPIC_API_KEYrequiredAPI key for Anthropic LLM provider.OPENAI_API_KEYrequiredAPI key for OpenAI LLM provider.SEMANTIC_SCHOLAR_API_KEYAPI key for higher limits on Semantic Scholar requests.LLM_PROVIDEREnvironment variable to set the LLM provider.LLM_MODELEnvironment variable to set the LLM model.Trending hip-hop artist momentum scores across four cultural dimensions.
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