Scholar RAG MCP

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.notwhiteblank/scholar-rag-mcp",
  "description": "Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.",
  "title": "Scholar RAG MCP",
  "repository": {
    "url": "https://github.com/notwhiteblank/scholar-rag-mcp",
    "source": "github"
  },
  "version": "0.4.0",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "scholar-rag-mcp",
      "version": "0.4.0",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Data root directory (knowledge bases, caches, jobs)",
          "name": "SCHOLAR_RAG_DATA_DIR"
        },
        {
          "description": "OpenAI-compatible chat endpoint for annotation/keywords (e.g. local vLLM)",
          "isRequired": true,
          "name": "SCHOLAR_RAG_CHAT_BASE_URL"
        },
        {
          "description": "OpenAI-compatible embeddings endpoint",
          "isRequired": true,
          "name": "SCHOLAR_RAG_EMBED_BASE_URL"
        },
        {
          "description": "Rerank endpoint (/v1/rerank)",
          "isRequired": true,
          "name": "SCHOLAR_RAG_RERANK_BASE_URL"
        }
      ]
    }
  ]
}