Scholar RAG MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 124 installs a week from pypi. Last commit 4 Sep 2026.
Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.
What the code does
We read the source, 3 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
setup.py: выполняет код при установке пакета
self._process = subprocess.Popen(
env=dict(os.environ),
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add scholar-rag-mcp -e 'SCHOLAR_RAG_CHAT_BASE_URL=<SCHOLAR_RAG_CHAT_BASE_URL>' -e 'SCHOLAR_RAG_EMBED_BASE_URL=<SCHOLAR_RAG_EMBED_BASE_URL>' -e 'SCHOLAR_RAG_RERANK_BASE_URL=<SCHOLAR_RAG_RERANK_BASE_URL>' -- uvx scholar-rag-mcp{
"mcpServers": {
"scholar-rag-mcp": {
"command": "uvx",
"args": [
"scholar-rag-mcp"
],
"env": {
"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>"
}
}
}
}[mcp_servers.scholar-rag-mcp]
command = "uvx"
args = ["scholar-rag-mcp"]
env = { 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>" }{
"mcpServers": {
"scholar-rag-mcp": {
"command": "uvx",
"args": [
"scholar-rag-mcp"
],
"env": {
"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>"
}
}
}
}{
"servers": {
"scholar-rag-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"scholar-rag-mcp"
],
"env": {
"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>"
}
}
}
}Put your own values in place of
<SCHOLAR_RAG_CHAT_BASE_URL> (OpenAI-compatible chat endpoint for annotation/keywords (e.g. local vLLM)), <SCHOLAR_RAG_EMBED_BASE_URL> (OpenAI-compatible embeddings endpoint), <SCHOLAR_RAG_RERANK_BASE_URL> (Rerank endpoint (/v1/rerank)).
The author’s registry entry marks them as required.
Optional settings from the registry entry, left out of the block above:
SCHOLAR_RAG_DATA_DIR (Data root directory (knowledge bases, caches, jobs)).
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Scholar RAG MCP — questions
Answers built from our own checks of this server.