ScholarXIV MCP
ScholarXIV MCP integrates AI agents with academic research via the Model Context Protocol.
PaidResearch & Data
Visit website Free to browse · updated 2026-06-26
What is ScholarXIV MCP?
ScholarXIV MCP acts as a specialized connector that lets AI agents and developer tools engage directly with scholarly content on the platform. Agents can locate papers using multiple criteria, retrieve detailed metadata, and perform organization tasks such as creating collections or adding members. Additional capabilities include bookmarking findings, liking content, leaving comments, and conducting research discussions with contextual paper support. The system also allows browsing public collections shared by other researchers, making it suitable for autonomous multi-step academic projects. It uses the same authentication approach as the standard API while expanding available operations for agent-driven use cases in research and development environments.
Key features
33 tools for paper search, collections, bookmarks, comments, and AI research chat
Search papers by title, author, abstract, category, or keyword
Retrieve full paper metadata and abstracts
Create, manage collections and add/remove papers
Bookmark, like, and comment on papers
AI research chat with paper context
Browse public collections from other researchers
What you can use ScholarXIV MCP for
Autonomous Paper Discovery
AI agents use the MCP tools to search ScholarXIV by title, author, abstract, category, or keyword and retrieve full metadata.
Research Organization Workflows
Agents create collections, add or remove papers, manage members, and handle bookmarks plus comments on findings.
Contextual AI Research Chat
Users run AI research questions that incorporate paper context directly through the 33 available MCP tools.
How to use ScholarXIV MCP
- 1Create a ScholarXIV account
- 2Generate an sxv_ API key in the developer dashboard
- 3Add the remote MCP server entry to your client configuration file
- 4Include the Authorization header with your API key
- 5Ask your AI agent to perform research tasks such as searching and bookmarking papers
ScholarXIV MCP pricing
Pricing model: Paid. Plan details are indicative — check the site for current prices.
API Access
Custom
- Rate limits apply to MCP and Papers API
- sxv_ API key required
Editor's verdict
Pros
- +Integrates AI agents with ScholarXIV via Model Context Protocol
- +Compatible with clients like Claude Desktop, Cursor, and VS Code
- +Uses same sxv_ API key as Papers API
Cons
- –Shares rate limits with REST API
- –Requires ScholarXIV account and API key
- –MCP-specific setup needed for clients
Our take: ScholarXIV MCP is a solid research & data choice. It's valued for integrates ai agents with scholarxiv via model context protocol and compatible with clients like claude desktop, cursor, and vs code. The main trade-off is shares rate limits with rest api. Best when you need reliable, professional output.
Frequently asked questions
It uses the Model Context Protocol over Streamable HTTP instead of traditional REST endpoints.
Summary
ScholarXIV MCP is a solid research & data choice. It's valued for integrates ai agents with scholarxiv via model context protocol and compatible with clients like claude desktop, cursor, and vs code. The main trade-off is shares rate limits with rest api. Best when you need reliable, professional output.
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