MCP低风险未认领

Data Aggregator

Find & fetch research datasets across 18 archives, omics registries, and literature sources.

musharnamusharna/data-aggregator-mcp★ 4更新于 2026年10月8日

server.json

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.musharna/data-aggregator-mcp",
  "description": "Find & fetch research datasets across 18 archives, omics registries, and literature sources.",
  "title": "Data Aggregator",
  "repository": {
    "url": "https://github.com/musharna/data-aggregator-mcp",
    "source": "github"
  },
  "version": "0.69.1",
  "packages": [
    {
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "identifier": "data-aggregator-mcp",
      "version": "0.69.1",
      "runtimeHint": "uvx",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Optional NCBI E-utilities API key; raises the rate limit 3->10 req/s for omics, literature, and taxonomy lookups.",
          "isSecret": true,
          "name": "NCBI_API_KEY"
        },
        {
          "description": "Base URL of an OpenAI-compatible /chat/completions endpoint; enables search(understand=true) and search(multi_query=true).",
          "name": "LLM_API_BASE"
        },
        {
          "description": "Bearer token for the LLM endpoint (LLM_API_BASE); omit for keyless local servers.",
          "isSecret": true,
          "name": "LLM_API_KEY"
        },
        {
          "description": "Model name passed to the LLM endpoint (default: gpt-4o-mini); set to whatever your endpoint serves.",
          "name": "LLM_MODEL"
        },
        {
          "description": "Base URL of an OpenAI-compatible /embeddings endpoint; enables search(rank=semantic) re-ranking.",
          "name": "EMBEDDING_API_BASE"
        },
        {
          "description": "Bearer token for the embeddings endpoint (EMBEDDING_API_BASE); omit for keyless local servers.",
          "isSecret": true,
          "name": "EMBEDDING_API_KEY"
        },
        {
          "description": "Model name passed to the embeddings endpoint (default: text-embedding-3-small).",
          "name": "EMBEDDING_MODEL"
        },
        {
          "description": "Optional api.data.gov key for the data.gov source; without it requests fall back to the shared public DEMO_KEY, which is aggressively rate-limited.",
          "isSecret": true,
          "name": "DATA_GOV_API_KEY"
        },
        {
          "description": "Email address sent to the Unpaywall API; required to enable the Unpaywall PDF fallback leg of literature full-text retrieval.",
          "name": "UNPAYWALL_EMAIL"
        },
        {
          "description": "Contact address sent to NCBI's ID converter; falls back to UNPAYWALL_EMAIL when unset.",
          "name": "NCBI_EMAIL"
        },
        {
          "description": "Resolve Dataverse DOIs against a different installation (default: https://dataverse.harvard.edu).",
          "name": "DATAVERSE_BASE_URL"
        },
        {
          "description": "Resolve-cache lifetime in seconds (default: 3600); an unparseable value falls back to the default.",
          "name": "CACHE_TTL_SECONDS"
        }
      ]
    }
  ]
}

权限

声明检测
运行代码—python
安装—pypi:data-aggregator-mcp@0.69.1
安装时运行脚本—无
网络无无
需要的凭据DATA_GOV_API_KEYEMBEDDING_API_KEYLLM_API_KEYNCBI_API_KEYDATA_GOV_API_KEYEMBEDDING_API_KEYLLM_API_KEYNCBI_API_KEY
工作区外的路径—无
智能体工具—无

检查

低风险 · 没有发现需要提醒的地方。

未经人工审核 · 已做规则检查;模型审核尚未开启。

版本

  1. #60.69.1最新2026年10月8日
  2. #50.69.02026年10月8日
  3. #40.68.02026年10月7日
  4. #30.67.12026年10月7日
  5. #20.67.02026年10月7日
  6. #10.66.02026年10月7日