Scholar RAG MCP for Gemini CLI
io.github.notwhiteblank/scholar-rag-mcp
Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Scholar RAG MCP in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"scholar-rag-mcp": {
"command": "uvx",
"args": [
"scholar-rag-mcp"
],
"env": {
"SCHOLAR_RAG_DATA_DIR": "<SCHOLAR_RAG_DATA_DIR>",
"SCHOLAR_RAG_CHAT_BASE_URL": "<SCHOLAR_RAG_CHAT_BASE_URL>",
"SCHOLAR_RAG_EMBED_BASE_URL": "<SCHOLAR_RAG_EMBED_BASE_URL>",
"SCHOLAR_RAG_RERANK_BASE_URL": "<SCHOLAR_RAG_RERANK_BASE_URL>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs