pulsemcp Safe content atomic mcp-remote

PubMed Research

Scholarly research MCP server built by aringadre76 that provides AI assistants with access to PubMed's biomedical literature database through five core tools: search_papers for querying academic papers with filters for date ranges, journals, and authors; get_paper_by_id and get_paper_details for retrieving specific papers by PMID; get_citation for generating formatted citations in BibTeX, EndNote, APA, MLA, and RIS formats; and get_citation_count for tracking paper impact metrics. The implementation uses TypeScript with the MCP SDK and integrates directly with NCBI's E-utilities API, handling XML parsing and rate limiting while supporting comprehensive metadata extraction including abstracts, author lists, DOIs, and publication details. Designed for researchers conducting literature reviews, academics needing programmatic access to biomedical papers, and AI applications requiring structured access to scientific publications with proper citation formatting capabilities.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/aringadre76/mcp-for-research
Author type: human
Updated: 2026-06-11

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MCP

Resolve PubMed 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

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"