Scholar RAG MCP Server

What the code does

We read the source, 18 h ago · rules 3dff92dd89df

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.

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 -- uvx scholar-rag-mcp

{
  "mcpServers": {
    "scholar-rag-mcp": {
      "args": [
        "scholar-rag-mcp"
      ],
      "command": "uvx"
    }
  }
}

[mcp_servers.scholar-rag-mcp]
command = "uvx"
args = ["scholar-rag-mcp"]

{
  "mcpServers": {
    "scholar-rag-mcp": {
      "args": [
        "scholar-rag-mcp"
      ],
      "command": "uvx"
    }
  }
}

{
  "mcpServers": {
    "scholar-rag-mcp": {
      "args": [
        "scholar-rag-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: SCHOLAR_RAG_DATA_DIR (Data root directory (knowledge bases, caches, jobs)), 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 declared them in the registry entry; get the values from the project itself.