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