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glama

data-aggregator-mcp

Searches and fetches research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics archives (GEO/SRA/BioProject), and the literature (PubMed/OpenAIRE) through one normalized model — deduplicating by DOI, expanding organism queries with NCBI Taxonomy synonyms, and bridging papers to the datasets they produced. Resolves citations and open-access full text, and downloads files.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: NCBI_API_KEY, EMBEDDING_API_KEY, LLM_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configDATA_AGGREGATOR_MCP_LIVE1 LLM_API_BASE=... python scripts/eval_understand.py
configLLM_API_BASE(); with none configured the search runs unchanged and notes it in
🔐 secretNCBI_API_KEY"env": { "": "your-optional-key" }
configDATAVERSE_BASE_URL
configEMBEDDING_API_BASEembedding similarity to the query; needs , degrades to
🔐 secretEMBEDDING_API_KEYEMBEDDING_API_BASE / / EMBEDDING_MODEL — an
configEMBEDDING_MODELEMBEDDING_API_BASE / EMBEDDING_API_KEY / — an
configUNPAYWALL_EMAILenables the Unpaywall fallback leg of literature full-text
configNCBI_EMAIL
🔐 secretLLM_API_KEYLLM_API_BASE / / LLM_MODEL — an OpenAI-compatible
configLLM_MODELLLM_API_BASE / LLM_API_KEY / — an OpenAI-compatible
configDATA_AGGREGATOR_MCP_ALLOW_FILE_URLS
configCACHE_TTL_SECONDS
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/musharna-data-aggregator-mcp-thpu1w)](https://m8ven.ai/mcp/musharna-data-aggregator-mcp-thpu1w)
commit: ea45c3f8cf25fce134713013d166d7ab5a224791
code hash: 43f9f9ad2ee752d411766b4ff1d6855f4a951fd06f84a901ff93215aee040eb7
verified: 6/18/2026, 10:56:11 AM
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