PubMed
PubMed-MCP-Server provides a bridge between AI assistants and PubMed, enabling search and analysis of medical research articles. The server exposes tools for keyword searching, advanced filtering by author/date/journal, retrieving article metadata by PMID, downloading full-text PDFs, and performing structured analysis of papers. Built with FastMCP and asynchronous processing, it handles requests efficiently while providing detailed logging, making it valuable for researchers, medical professionals, and academics who need to access scientific literature without leaving their AI assistant conversation.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/jackkuo666/pubmed-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve PubMed 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.