Data · Local MCP server

Data Aggregator

Find & fetch research datasets across 17 archives, omics registries, and literature sources.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.musharna/data-aggregator-mcp
Version
0.55.2
Status
Active
Category
data
Transport
stdio (local process)
Package
PyPI
Published
2026-10-03
Updated
2026-10-03
Publisher
musharna (GitHub) · 8 servers with pages here
Repository
github.com/musharna/data-aggregator-mcp
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxdata-aggregator-mcp0.55.2stdioNCBI_API_KEY (secret), LLM_API_BASE, LLM_API_KEY (secret), LLM_MODEL, EMBEDDING_API_BASE, EMBEDDING_API_KEY (secret), EMBEDDING_MODEL, DATA_GOV_API_KEY (secret), UNPAYWALL_EMAIL, NCBI_EMAIL, DATAVERSE_BASE_URL, CACHE_TTL_SECONDS

How to connect Data Aggregator

Data Aggregator runs locally from a Python package published to PyPI: data-aggregator-mcp version 0.55.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx data-aggregator-mcp. It reads these environment variables: NCBI_API_KEY (secret), LLM_API_BASE, LLM_API_KEY (secret), LLM_MODEL, EMBEDDING_API_BASE, EMBEDDING_API_KEY (secret), EMBEDDING_MODEL, DATA_GOV_API_KEY (secret), UNPAYWALL_EMAIL, NCBI_EMAIL, DATAVERSE_BASE_URL and CACHE_TTL_SECONDS; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "data-aggregator-mcp": {
      "command": "uvx",
      "args": [
        "data-aggregator-mcp"
      ],
      "env": {
        "NCBI_API_KEY": "<secret>",
        "LLM_API_BASE": "<value>",
        "LLM_API_KEY": "<secret>",
        "LLM_MODEL": "<value>",
        "EMBEDDING_API_BASE": "<value>",
        "EMBEDDING_API_KEY": "<secret>",
        "EMBEDDING_MODEL": "<value>",
        "DATA_GOV_API_KEY": "<secret>",
        "UNPAYWALL_EMAIL": "<value>",
        "NCBI_EMAIL": "<value>",
        "DATAVERSE_BASE_URL": "<value>",
        "CACHE_TTL_SECONDS": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

More from musharna (GitHub)

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ldraw-mcpRender LDraw/LEGO models to images with real part geometry via headless Blender + ImportLDraw.Local · stdioPyPI: ldraw-mcp
phylokit-mcpPhylogenetic inference via IQ-TREE 3 — never returns a topology without its support.Local · stdioPyPI: phylokit-mcp
Plant GenomicsPlant genomics MCP — 56 tools across 23 backends with cross-source synthesis.Local · stdioPyPI: plant-genomics-mcp
plantcv-mcpPlant phenotyping via PlantCV — returns traits plus the segmentation overlay they came from.Local · stdioPyPI: plantcv-mcp
tmodloader-mcpDrive a running tModLoader (Terraria) instance from an agent: launch, query, screenshot, read state.Local · stdioPyPI: tmodloader-mcp

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