research_chain
Pack: research-chain · Endpoint: https://gateway.pipeworx.io/research-chain/mcp
Everything openly available around a paper, in ONE call: full text, license, datasets, code, and citations. Given a DOI, PMID, or arXiv id, walks paper (Crossref + OpenAlex) -> open copies with PER-COPY license and version (Unpaywall + PubMed Central — never collapses “free to read” into “permitted to reuse”) -> datasets that cite it (DataCite relatedIdentifiers) -> code/materials that implement it (Zenodo, Hugging Face Papers) -> papers that cite it (Semantic Scholar) -> retraction status (Crossref/Retraction Watch). Use for “what datasets/code are linked to
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
doi | string | no | DOI of the paper, e.g. “10.1038/s41586-020-2649-2” (a doi.org URL is also accepted). |
pmid | string | no | PubMed ID, e.g. “32015507”. Resolved to a DOI via NCBI’s ID Converter. |
arxiv_id | string | no | arXiv id, e.g. “2312.00752”. Resolved to arXiv’s own DataCite DOI (10.48550/arXiv. |
max_datasets | number | no | Max datasets to return (1-100, default 25). DataCite’s total count is always returned even when truncated. |
max_citing | number | no | Max citing papers to return (1-25, default 10). |
Example call
Arguments
{
"doi": "10.1038/s41586-020-2649-2"
}
curl
curl -X POST https://gateway.pipeworx.io/research-chain/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"research_chain","arguments":{"doi":"10.1038/s41586-020-2649-2"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('research_chain', {
"doi": "10.1038/s41586-020-2649-2"
});
More examples
{
"doi": "10.1145/3680528.3687680",
"max_datasets": 10,
"max_citing": 5
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"research-chain": {
"url": "https://gateway.pipeworx.io/research-chain/mcp"
}
}
}
See Getting Started for client-specific install steps.