PubMed Searcher
PubMed Analysis MCP Server enables AI assistants to search, retrieve, and analyze scientific literature from PubMed. It leverages the Biopython library to access NCBI's Entrez API, providing structured article data including titles, authors, abstracts, and keywords. The server includes robust analysis capabilities for identifying research hotspots, tracking publication trends over time, and generating comprehensive statistical reports - making it valuable for researchers, academics, and healthcare professionals who need to quickly extract insights from medical literature.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/darkroaster/pubmearch
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve PubMed Searcher from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.