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PubMed Smithery

The PubMed Enhanced Search MCP Server provides AI assistants with powerful tools to search and analyze academic medical literature through the PubMed database. It offers specialized functions for keyword searches with journal filtering, MeSH term lookups, publication count statistics, detailed paper information retrieval, and structured PICO-based evidence searches. Built with Python using the FastMCP framework, this server implements automatic retry mechanisms with backoff delays to handle potential rate limiting by NCBI's E-utilities service, making it particularly valuable for researchers, healthcare professionals, and academics who need to efficiently access and analyze medical research without leaving their AI assistant conversation.

Cognium trust score

64%

Tier

Scanned

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/leescot/pubmed-mcp-smithery
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve PubMed Smithery 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"