Simple PubMed
This MCP server, developed by Andy Brandt, provides a bridge between large language models and the PubMed medical research database via the Entrez API. Built in Python, it enables AI assistants to search PubMed, access article abstracts, and potentially retrieve full-text content for open access papers. The implementation focuses on simplicity and ease of integration with Claude Desktop, offering a straightforward interface for querying biomedical literature. By connecting AI models with PubMed's vast repository of scientific articles, this server allows AI systems to access up-to-date medical research, analyze trends in healthcare, and provide evidence-based insights. It is particularly useful for scenarios like literature reviews, staying current on medical advancements, and building AI assistants that can leverage peer-reviewed scientific knowledge in the biomedical domain.
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
- database
- Source
- PulseMCP
- Repository
- github.com/andybrandt/mcp-simple-pubmed
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Simple 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.