About This Site
Ground AI research agents in trusted computer science papers and research tools. Lune Research is an MCP server that connects AI agents to trusted scientific research knowledge and tools. It grounds responses in full-text papers from top-tier computer science conferences, helping researchers conduct literature reviews, brainstorm ideas, design experiments, write academic papers, and evaluate research. It also provides research best practices and traceable citations while avoiding noise from the open web.
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pythanks MAGIC and READYMADE solutions
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Key Features AI
Core Features
Semantic search across full-text papers from top-tier computer science conferences
Full-text paper reading with source-grounded answers and traceable citations
Citation tracing to explore a paper's sources and later research
Research best-practices guidance for literature reviews, experimentation, and writing
Claim checking and support for academic writing and peer review
Integration with MCP-compatible AI clients and a command-line interface
Advantages
Answers are grounded in full-text academic papers rather than general open-web results
Provides traceable evidence and citations
Includes research guidance for multiple stages of the research workflow
Works with AI apps researchers may already use
Offers a free plan with 10 requests per day and no feature gates
Paid plans can be changed or canceled from the dashboard, and top-up credits do not expire
缺点：Its stated paper coverage focuses on computer science conferences, so coverage may not suit every discipline
缺点：Daily requests are limited by plan, with additional usage requiring paid credits
缺点：The service depends on a compatible AI client, CLI, or Lune cloud agent
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