Academic Paper Search MCP Server
A Model Context Protocol server providing real-time academic paper search, detailed metadata, abstracts, and full-text access, mainly for Claude Desktop integration.
Added on:
Created by:
Feb 12 2025
A Model Context Protocol server providing real-time academic paper search, detailed metadata, abstracts, and full-text access, mainly for Claude Desktop integration.
Added on:
Created by:
Feb 12 2025
Allen Frise
Featured
What is Academic Paper Search MCP Server?
This MCP server facilitates efficient searching and retrieving of academic papers from multiple sources like Semantic Scholar and Crossref. It offers structured data responses, including metadata, abstracts, and full-text content where available, designed to support AI models such as Claude Desktop. Users can perform queries by keywords, topics, or specific paper IDs, and access comprehensive paper details. The system is built using Python MCP SDK, FastMCP, and httpx for API requests, ensuring reliable and scalable performance. It enables AI models to provide up-to-date academic information, enhancing research-related applications and scholarly data analysis.
Who will use Academic Paper Search MCP Server?
- Researchers
- Academic institutions
- AI developers
- Students
- Research organizations
How to use the Academic Paper Search MCP Server?
- Step1: Set up the server environment and obtain API keys for Semantic Scholar and Crossref
- Step2: Run the server locally or deploy on a cloud platform
- Step3: Integrate the MCP server into the desired AI model or client
- Step4: Use provided tools (`search_papers`, `fetch_paper_details`, `search_by_topic`) to perform searches and retrieve data
- Step5: Use the structured data responses for your research or product development
Academic Paper Search MCP Server's Core Features & Benefits
The Core Features
- search_papers
- fetch_paper_details
- search_by_topic
The Benefits
- Access to real-time academic search results
- Rich, structured metadata and abstracts
- Full-text content retrieval when available
- Supports multiple data sources
- Easy integration with AI models
Academic Paper Search MCP Server's Main Use Cases & Applications
- Enhancing AI-based academic research assistants
- Automated literature reviews for research projects
- Scholarly data mining and analysis
- Academic resource integration in educational platforms
- Building AI-powered academic search tools
FAQs of Academic Paper Search MCP Server
Developer
- afrise
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