PubMed Medical Literature Research
PubMed MCP server provides tools to search, analyze, and retrieve academic medical literature through the NCBI PubMed database. Built with a robust architecture featuring object-oriented design, advanced error handling with retry mechanisms, and performance monitoring, it enables AI assistants to find articles by topics and researchers, retrieve detailed publication information with formatted citations, and analyze researcher publication statistics. The implementation includes structured API responses with rich metadata, making it valuable for medical researchers, academics, and healthcare professionals who need to efficiently access and analyze scientific 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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/felixwu1110/pubmed_mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve PubMed Medical Literature Research 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.