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2 posts tagged with "Literature Review"

Academic literature discovery and citation workflows

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OpenAlex Literature Review Workflows with AI

· 5 min read
Tony Lewis
MCPBundles
Ask AI:
PerplexityClaudeChatGPTGoogleGrok

TL;DR​

  • The OpenAlex MCP server connects your agent to OpenAlex — an open catalog of the global research system — after you add the server in MCPBundles.
  • OpenAlex reported 477 million indexed works in its Q1 2026 update (OpenAlex blog), with metadata under a CC0 license anyone can reuse.
  • Built for researchers and review leads who need topic discovery, single-paper lookups, and citation expansion in chat — not another closed subscription database.

Your PI asks for "everything on retrieval-augmented evaluation since 2022" by Thursday. You've got twelve tabs open, three half-finished Zotero imports, and a spreadsheet where column B is supposed to be DOIs but half the rows are blank. The bottleneck isn't finding one good paper — it's holding the map in your head while you chase who cited whom.

OpenAlex exists to be that map in the open. We wired it into MCPBundles so an agent can search, open metadata, and walk citations without you becoming the human middleware between discovery tools.

Semantic Scholar Research Workflows with AI

· 5 min read
Tony Lewis
MCPBundles
Ask AI:
PerplexityClaudeChatGPTGoogleGrok

TL;DR​

  • The Semantic Scholar MCP server connects your agent to Semantic Scholar — Allen Institute for AI's free research discovery service — after you add the server in MCPBundles.
  • Semantic Scholar's product pages describe search across 214 million papers from all fields of science, with citation links and recommended reads built into the graph.
  • Built for researchers and R&D teams who need paper discovery, author lookup, and reading-list expansion without exporting CSVs from yet another web UI.

It's 10 p.m. and your related-work section still says "TBD." You know three anchor papers cold, but you're not sure which follow-on studies actually matter — and you're definitely not opening forty browser tabs to compare citation counts by hand.

Semantic Scholar was built for that kind of overload: search at scale, citation context, author profiles, and recommendations on top of a graph that already connects papers to papers. MCPBundles puts the same corpus one prompt away from the agent you already use for drafting.