Data Aggregator for Grok
io.github.musharna/data-aggregator-mcp
Find & fetch research datasets across 17 archives, omics registries, and literature sources.
client:Grok
transport:stdio
runtime:pypi
Install Data Aggregator in Grok
.mcp.json (in your project root)
{
"mcpServers": {
"data-aggregator-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"data-aggregator-mcp"
],
"env": {
"NCBI_API_KEY": "<NCBI_API_KEY>",
"LLM_API_BASE": "<LLM_API_BASE>",
"LLM_API_KEY": "<LLM_API_KEY>",
"LLM_MODEL": "<LLM_MODEL>",
"EMBEDDING_API_BASE": "<EMBEDDING_API_BASE>",
"EMBEDDING_API_KEY": "<EMBEDDING_API_KEY>",
"EMBEDDING_MODEL": "<EMBEDDING_MODEL>",
"DATA_GOV_API_KEY": "<DATA_GOV_API_KEY>",
"UNPAYWALL_EMAIL": "<UNPAYWALL_EMAIL>",
"NCBI_EMAIL": "<NCBI_EMAIL>",
"DATAVERSE_BASE_URL": "<DATAVERSE_BASE_URL>",
"CACHE_TTL_SECONDS": "<CACHE_TTL_SECONDS>"
}
}
}
}
Grok Build reads Claude Code's .mcp.json and Claude Desktop's config unchanged, so a server you have already set up there needs nothing new. The Grok web app and X integration do not take custom servers. Grok docs