by afrise · MCP Server · ★ 119
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Academic Paper Search MCP Server A Model Context Protocol (MCP) server that enables searching and retrieving academic paper information from multiple sources. The server provides LLMs with: Real-time academic paper search functionality Access to paper metadata and abstracts Ability to retrieve full-text content when available Structured data responses following the MCP specification While primarily designed for integration with Anthropic's Claude Desktop client, the MCP specification allows for potential compatibility with other AI models and clients that support tool/function calling capabilities (e.g. OpenAI's API). Note: This software is under active development. Features and functionality are subject to change. Features This server exposes the following tools: : Search for academic papers across multiple sources Parameters: (str): Search query text (int, optional): Maximum number of results to return (default: 10) Returns: Formatted string containing paper details : Retrieve detailed info
| Stars | 119 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 79.5237528824033/100 |
| Open Issues | 3 |
| Last Updated | 2025-02-12 |
| Created | 2025-02-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~3k |
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academic-search-mcp-server is Academic Paper Search MCP Server for Claude Desktop integration. Allows Claude to access data from Semantic Scholar and Crossref.. It is categorized as a MCP Server with 119 GitHub stars.
academic-search-mcp-server is primarily written in Python. It covers topics such as academic, ai, llm.
You can find installation instructions and usage details in the academic-search-mcp-server GitHub repository at github.com/afrise/academic-search-mcp-server. The project has 119 stars and 11 forks, indicating an active community.
academic-search-mcp-server is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to academic-search-mcp-server on Agent Skills Hub include claude-historian-mcp, cli-anything-zotero, deep-seek. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.