MCP.Market

Data Aggregator MCP server

by musharna·io.github.musharna/data-aggregator-mcp·v0.75.4·4 stars

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

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

4 stars290 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Data Aggregator tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-11-04 · same rubric, same numbers if you re-run it

no findings
  • Code scan91 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Data Aggregator compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 65% of 48,255 servers
GitHub stars
4
more than 82% of 28,688 servers
Downloads a week
290
more than 81% of 12,191 servers with a package

Release history: 19 versions in the registry since 2026-07-28, latest 2026-10-20, typically one every 1 day.

Install Data Aggregator in Claude Code, Cursor or VS Code

claude mcp add data-aggregator-mcp -- uvx data-aggregator-mcp
Add to Cursor

What the publisher says

From the Data Aggregator repository's README, as published. We do not edit it. Read it on GitHub

🔎 data-aggregator-mcp

One MCP server to find and fetch research data across archives, omics registries, and literature — behind a single normalized model.

search one query across 17 sources — Zenodo, DataCite (Dryad / Figshare / Dataverse / OSF / OpenNeuro / Mendeley), NCBI omics (GEO / SRA / BioProject), BioStudies (EBI, incl. ArrayExpress), literature (PubMed / OpenAIRE), HuggingFace datasets, DataONE (eco / environmental), OmicsDI (proteomics / metabolomics), DANDI (neurophysiology), CZ CELLxGENE (single-cell), OpenML (ML datasets), RCSB PDB (structures), UniProtKB (proteins), the GWAS Catalog, GBIF (biodiversity), data.gov (US federal open data), and NASA CMR (Earth science) — deduplicated, normalized, and cross-linked. resolve any hit to its file manifest, citation, trust signals, and the data it points at. fetch it to disk with checksum verification.

mcp-name: io.github.musharna/data-aggregator-mcp

✨ Why this

Most data MCPs wrap a single source. This one unifies them behind six tools and one DataResource model, so an agent searches once and gets back comparable records:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Data Aggregator: common questions

Is Data Aggregator MCP server safe?
Mostly: it is graded B (83/100). Read the Data Aggregator safety report
How do I install Data Aggregator?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Data Aggregator need an API key?
Yes. The registry entry asks for NCBI_API_KEY, LLM_API_KEY, EMBEDDING_API_KEY, DATA_GOV_API_KEY.
Is Data Aggregator maintained?
The last commit was in the last day (2026-11-04). The latest release is v0.75.4.
What can I use instead of Data Aggregator?
Servers from other publishers that do the same job: Tooluniverse MCP server.
How does Data Aggregator compare with other MCP servers?
safety score 83/100 (higher than 65% of 48,255 servers); github stars 4 (more than 82% of 28,688 servers); downloads a week 290 (more than 81% of 12,191 servers with a package). Full comparison.

Alternatives to Data Aggregator

Same job from other publishers: the closest match first, then the best rated.

  • Tooluniverse
    2,700+ scientific tools for AI scientists: life science, research, literature, and more.
    C

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