AI BriefingHow to Use MCP-Based AI Research Automation Tools
Key point
This introduces a way to connect AI agents directly to research tools such as arXiv and GitHub using the Model Context Protocol (MCP).
Details
This presents an approach to automating Research Discovery (finding papers, code, models, and datasets), a core part of the research process, using the Model Context Protocol (MCP).
The stages of research discovery are divided into three levels of abstraction:
- Manual Research: The stage where researchers manually move between platforms to gather information.
- Scripted Tools: The stage where automation is achieved by calling APIs via Python scripts, but which is vulnerable to API changes or parsing errors.
- MCP Integration: The stage where AI directly orchestrates tools through natural language to gather information and reason.
Hugging Face provides a setup guide that lets users immediately use research tools in Claude Desktop, Cursor, VS Code, and more via the Research Tracker MCP.
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