Scholar RAG MCP MCP配置与使用教程

{
  "id": "io.github.notwhiteblank/scholar-rag-mcp",
  "type": "mcp-server",
  "version": "0.4.0",
  "displayName": "Scholar RAG MCP",
  "description": "Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.",
  "repository": {
    "url": "https://github.com/notwhiteblank/scholar-rag-mcp",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "scholar-rag-mcp",
        "version": "0.4.0",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "SCHOLAR_RAG_DATA_DIR",
            "description": "Data root directory (knowledge bases, caches, jobs)"
          },
          {
            "name": "SCHOLAR_RAG_CHAT_BASE_URL",
            "description": "OpenAI-compatible chat endpoint for annotation/keywords (e.g. local vLLM)",
            "isRequired": true
          },
          {
            "name": "SCHOLAR_RAG_EMBED_BASE_URL",
            "description": "OpenAI-compatible embeddings endpoint",
            "isRequired": true
          },
          {
            "name": "SCHOLAR_RAG_RERANK_BASE_URL",
            "description": "Rerank endpoint (/v1/rerank)",
            "isRequired": true
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.notwhiteblank/scholar-rag-mcp",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.notwhiteblank%2Fscholar-rag-mcp/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}