lstudlo

lstudlo / ScholarMCP

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ScholarMCP - A nodejs academic research MCP server with comprehensive literature search, PDF ingestion, and citation management tools. Integrates with Google Scholar, OpenAlex, Crossref, and Semantic Scholar for automated research workflows.

11
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89% credibility
Found Feb 26, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ScholarMCP equips AI coding assistants with tools to search academic literature, parse research papers, extract structured details, suggest citations, and validate references.

How It Works

1
πŸ” Discover ScholarMCP

You hear about a handy tool that lets your AI writing buddy find academic papers and handle citations effortlessly.

2
πŸ“₯ Get the tool

Download and set up the research helper on your computer in a few moments.

3
πŸš€ Start the helper

Turn on the tool so it's ready to assist your AI friend.

4
πŸ”— Link to your AI assistant

Connect it to your favorite AI chat like Claude, and now it can do deep research for you.

5
πŸ’¬ Ask for research

Chat with your AI and say things like 'find recent papers on this topic' or 'suggest citations for my draft'.

6
πŸ“š Get smart insights

Watch as it pulls papers, reads PDFs, extracts key details, and builds perfect reference lists.

βœ… Research done right

Your work now has solid sources and citations, saving hours of manual hunting.

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AI-Generated Review

What is ScholarMCP?

ScholarMCP is a Node.js/TypeScript MCP server that gives coding agents like Claude Code or OpenAI Codex seamless access to academic research workflows. It integrates Google Scholar, OpenAlex, Crossref, and Semantic Scholar for automated literature searches, PDF ingestion and parsing, plus citation management tools like contextual suggestions and bibliography generation. Developers get a drop-in server for stdio or HTTP transport, turning chat prompts into full research tasks without leaving the agent.

Why is it gaining traction?

Its federated search across providers delivers comprehensive, deduplicated paper results with OA PDF links, while async ingestion extracts structured details like claims and datasets. Citation tools handle validation, BibTeX output, and style-specific formatting (APA, IEEE), saving hours on manual lit reviews. The CLI setup (`npx scholar-mcp --transport=stdio`) and agent configs hook right into MCP clients, making research automated and agent-native.

Who should use this?

Academic researchers prompting Claude for paper summaries or citation gaps. Devs building AI research assistants that need to ingest DOIs, validate refs, or suggest citations mid-manuscript. Teams automating lit reviews in tools like Obsidian or Zotero via MCP-compatible agents.

Verdict

Grab it if you're on MCP-enabled agentsβ€”solid for early prototypes despite 10 stars and 0.9% credibility score signaling nascent maturity. Docs are crisp with examples, but expect bugs; file issues liberally as it evolves.

(198 words)

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