Model concepts for MCP servers connecting AI to academic research databases (IEEE, JSTOR, Springer, etc.)

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academic-research ai-tools ieee-xplore jstor knowledge-graph mcp model-context-protocol research-tools scientific-literature springer-nature
2 Open Issues Need Help Last updated: Sep 28, 2025

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AI Summary: This GitHub issue proposes integrating Springer Nature's three-tier API (Metadata, Open Access, Full Text) into an existing MCP server, following an established IEEE Xplore implementation pattern. The plan includes developing core API tools for searching, retrieving articles, citations, and authors, along with unique features like automatic subscription tier detection, an Open Access filter, and subject area browsing. The aim is to leverage Springer Nature's extensive content for comprehensive research access.

Complexity: 4/5
enhancement help wanted

Model concepts for MCP servers connecting AI to academic research databases (IEEE, JSTOR, Springer, etc.)

JavaScript
#academic-research#ai-tools#ieee-xplore#jstor#knowledge-graph#mcp#model-context-protocol#research-tools#scientific-literature#springer-nature

AI Summary: This GitHub issue is a 'Help Wanted' request for an IEEE Xplore API key. The project has a concept implementation for an IEEE Xplore MCP server and needs the key for testing and validation, including rate limiting and error handling. They are asking community members to either test locally with their own key, share temporary access securely, or facilitate institutional access.

Complexity: 1/5
help wanted good first issue

Model concepts for MCP servers connecting AI to academic research databases (IEEE, JSTOR, Springer, etc.)

JavaScript
#academic-research#ai-tools#ieee-xplore#jstor#knowledge-graph#mcp#model-context-protocol#research-tools#scientific-literature#springer-nature