{
    "$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 17 archives, omics registries, and literature sources.",
    "title": "Data Aggregator",
    "repository": {
        "url": "https://github.com/musharna/data-aggregator-mcp",
        "source": "github"
    },
    "version": "0.45.3",
    "packages": [
        {
            "registryType": "pypi",
            "registryBaseUrl": "https://pypi.org",
            "identifier": "data-aggregator-mcp",
            "version": "0.45.3",
            "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"
                }
            ]
        }
    ],
    "_meta": {
        "io.modelcontextprotocol.registry/official": {
            "status": "active",
            "statusChangedAt": "2026-07-28T06:32:31.802581Z",
            "publishedAt": "2026-07-28T06:32:31.802581Z",
            "updatedAt": "2026-07-28T06:32:31.802581Z",
            "isLatest": true
        }
    }
}