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Data Aggregator MCP Server

local only

Data Aggregator runs on your own machine — the client starts it, so there is no endpoint to ping. 1 362 installs a week from pypi. Last commit 2 Nov 2026.

Find & fetch research datasets across 21 archives, omics registries, and literature sources.

Installs per day peak 6 114 · avg 932 · -55% w/w
a month agotoday
1 362
Installs / week
pypi · data-aggregator-mcp
4
Stars
4 open issues
2 Nov 2026
Last commit
from GitHub
MIT
License
Python

Nothing serious here today

Today is the operative word: we check Data Aggregator every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add data-aggregator-mcp -- uvx data-aggregator-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "data-aggregator-mcp": {
      "command": "uvx",
      "args": [
        "data-aggregator-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.data-aggregator-mcp]
command = "uvx"
args = ["data-aggregator-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "data-aggregator-mcp": {
      "command": "uvx",
      "args": [
        "data-aggregator-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "data-aggregator-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "data-aggregator-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: NCBI_API_KEY (Optional NCBI E-utilities API key; raises the rate limit 3->10 req/s for omics, literature, and taxonomy lookups), LLM_API_BASE (Base URL of an OpenAI-compatible /chat/completions endpoint; enables search(understand=true) and search(multi_query=true)), LLM_API_KEY (Bearer token for the LLM endpoint (LLM_API_BASE); omit for keyless local servers), LLM_MODEL (Model name passed to the LLM endpoint (default: gpt-4o-mini); set to whatever your endpoint serves), EMBEDDING_API_BASE (Base URL of an OpenAI-compatible /embeddings endpoint; enables search(rank=semantic) re-ranking), EMBEDDING_API_KEY (Bearer token for the embeddings endpoint (EMBEDDING_API_BASE); omit for keyless local servers), EMBEDDING_MODEL (Model name passed to the embeddings endpoint (default: text-embedding-3-small)), DATA_GOV_API_KEY (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), UNPAYWALL_EMAIL (Email address sent to the Unpaywall API; required to enable the Unpaywall PDF fallback leg of literature full-text retrieval), NCBI_EMAIL (Contact address sent to NCBI's ID converter; falls back to UNPAYWALL_EMAIL when unset), DATAVERSE_BASE_URL (Resolve Dataverse DOIs against a different installation (default: https://dataverse.harvard.edu)), CACHE_TTL_SECONDS (Resolve-cache lifetime in seconds (default: 3600); an unparseable value falls back to the default).

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Data Aggregator — questions

Answers built from our own checks of this server.

Why is there no uptime for Data Aggregator?
Data Aggregator runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package data-aggregator-mcp was installed 1 362 times last week.
How do I connect Data Aggregator?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls data-aggregator-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Data Aggregator?
The pypi package data-aggregator-mcp was installed 1 362 times in the last week. Week over week that is -55%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Data Aggregator open source?
Yes — it is published under the MIT licence, written in Python, 4 stars on GitHub and 4 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.