Open
Conversation
BGPT is an MCP server for searching scientific papers built from raw experimental data extracted from full-text studies. Returns 25+ structured fields per paper including methods, results, sample sizes, and quality scores. - Website: https://bgpt.pro/mcp - GitHub: https://github.com/connerlambden/bgpt-mcp Co-authored-by: Cursor <cursoragent@cursor.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Adds BGPT to the Tools > Misc section. BGPT is an MCP server for searching scientific papers built from raw experimental data extracted from full-text studies. It returns 25+ structured fields per paper including methods, results, sample sizes, and quality scores.
Similar to Synthical and CatalyzeX already listed in this section, BGPT helps researchers find and analyze scientific literature — but focuses on delivering structured experimental data rather than abstracts.
Made with Cursor