connerlambden/bgpt-mcp

Overview

Provides a scientific paper search API designed for AI agents. Supports REST, Python, OpenAPI, and the Model Context Protocol (MCP) to deliver structured full-text evidence from papers.

Best for

Best for
Developers building AI agents that need structured access to scientific papers

Use cases

• Searching scientific literature programmatically
• Integrating paper evidence into AI agent workflows
• Building research tools with structured citation data

How to use

Install

npm install -g bgpt-mcp

Tools exposed

• num_results
• days_back
• api_key

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline

Notes

Provides a scientific paper search API designed for AI agents. Supports REST, Python, OpenAPI, and the Model Context Protocol (MCP) to deliver structured full-text evidence from papers.

24 stars on GitHub. Last updated 2026-05-26. Licensed MIT.

Use cases

• Searching scientific literature programmatically
• Integrating paper evidence into AI agent workflows
• Building research tools with structured citation data

Pros

• Multiple interface options (REST, Python, OpenAPI, MCP)
• Returns structured full-text evidence
• Open source with JavaScript implementation

Cons

• Small community (24 stars) may indicate limited adoption
• Documentation and stability may be limited
• Requires self-hosting or API key setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.