afrise_academic-search-mcp-server
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A Model Context Protocol (MCP) server that enables searching and retrieving academic paper information from multiple sources.
The Academic Paper Search MCP Server is designed to facilitate real-time academic paper searches and retrievals from various sources. It provides access to paper metadata, abstracts, and full-text content when available, all structured according to the MCP specification. This server is primarily intended for integration with Anthropic's Claude Desktop client but is potentially compatible with other AI models and clients that support tool/function calling capabilities, such as OpenAI's API. The server is under active development, and its features and functionality may evolve over time.
Features
- search_papers: Search for academic papers across multiple sources with a query and optional result limit.
- fetch_paper_details: Retrieve detailed information for a specific paper using its identifier and optional data source.
- search_by_topic: Search for papers by topic with optional date range filter and result limit.
