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Fenju Fu
Fenju Fu

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Astron for Good PubMed: evidence cards with traceable PMIDs

#opensource #healthtech #agents #mcp

Public-interest medical communication should make research easier to read without breaking the link to the original evidence. This Astron for Good application concept demonstrates a complete, executed workflow that searches PubMed through MCP, retrieves article details, asks Spark Ultra to assemble an evidence card, and verifies the cited PMIDs and source URLs.

The output supports research reading. It is not diagnosis, treatment advice, or a substitute for clinical judgment.

mcp-pubmed repository

The executed workflow

  1. Accept a medical literature question.
  2. Call the local bridge endpoint backed by the PubMed MCP server.
  3. Run a real PubMed search and retrieve article details.
  4. Ask Spark Ultra to produce a structured evidence card.
  5. Check that every PMID and PubMed URL in the result was present in the same run.
  6. Return the card with a safety note.

Real English evidence-card result

The recorded run returned 594 search candidates, selected three, retrieved details for two, and built the final card from PMID 40187844 and PMID 35398344. Spark Ultra 4.0 performed the synthesis, while a deterministic audit enforced citation consistency.

Why this is an Astron for Good scenario

Patient organizations, public-interest science communicators and education volunteers need to turn technical literature into readable material. A traceable workflow can help them preserve PMID links, separate retrieved evidence from generated prose, and repeat the same process for a new question.

Runtime configuration

The public YAML files do not contain a bridge token. Configure these environment variables in the Astron workflow runtime:

PUBMED_BRIDGE_BASE_URL=http://host.docker.internal:8791
PUBMED_BRIDGE_TOKEN=<local secret>
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Keep the token out of the workflow YAML, screenshots and logs.

Reuse the workflow

Chinese and English Astron DSL files are available from the workflow hub.

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