BGPT MCP + REST API
Search scientific papers from Claude, Cursor, any MCP-compatible AI tool, or plain Python.
BGPT is a remote Model Context Protocol (MCP) server and traditional JSON/HTTP API that gives AI assistants and Python apps access to a database of scientific papers built from full-text studies. Unlike typical search tools that return titles and abstracts, BGPT extracts raw experimental data — methods, results, conclusions, quality scores, sample sizes, limitations, and 25+ metadata fields per paper.
Evidence Demo
If you want to see why BGPT is different from ordinary paper search, start here:
EVIDENCE_DEMO.md— a claim-interrogation demo forGLP-1 alcohol cravingexamples/bgpt_plotly_evidence_dashboard.py— generate a Plotly HTML dashboard with study methods, samples, limitations, conflicts, data availability, blind spots, and falsifiability promptsPROMPT_GALLERY.md— prompts for scientific RAG, literature review agents, and evidence dashboards
The core idea: BGPT helps an AI agent ask what would weaken this scientific claim? before it summarizes the literature.
