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biolit for VS Code

io.github.rachadele/biolit

LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints.

client:VS Code transport:stdio runtime:pypi

Install biolit in VS Code

.vscode/mcp.json

{
  "inputs": [
    {
      "type": "promptString",
      "id": "anthropic-api-key",
      "description": "ANTHROPIC_API_KEY",
      "password": true
    },
    {
      "type": "promptString",
      "id": "openai-api-key",
      "description": "OPENAI_API_KEY",
      "password": true
    },
    {
      "type": "promptString",
      "id": "llm-provider",
      "description": "LLM_PROVIDER",
      "password": true
    },
    {
      "type": "promptString",
      "id": "llm-model",
      "description": "LLM_MODEL",
      "password": true
    },
    {
      "type": "promptString",
      "id": "semantic-scholar-api-key",
      "description": "SEMANTIC_SCHOLAR_API_KEY",
      "password": true
    },
    {
      "type": "promptString",
      "id": "unpaywall-email",
      "description": "UNPAYWALL_EMAIL",
      "password": true
    }
  ],
  "servers": {
    "biolit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "biolit"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "${input:anthropic-api-key}",
        "OPENAI_API_KEY": "${input:openai-api-key}",
        "LLM_PROVIDER": "${input:llm-provider}",
        "LLM_MODEL": "${input:llm-model}",
        "SEMANTIC_SCHOLAR_API_KEY": "${input:semantic-scholar-api-key}",
        "UNPAYWALL_EMAIL": "${input:unpaywall-email}"
      }
    }
  }
}

VS Code prompts for each input the first time the server starts, so no secret is written to the file. VS Code docs

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