What is the ArXiv MCP Server used for?
It enables AI assistants to search, download, list, and read arXiv papers through the MCP protocol, acting as a bridge between language models and the arXiv repository.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"blazickjp_arxiv-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"git+https://github.com/blazickjp/arxiv-mcp-server.git"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The ArXiv MCP Server provides a bridge between AI assistants and arXiv’s research repository through the Message Control Protocol (MCP). It allows AI models to search for papers and access their content programmatically, designed for developers integrating AI tools with scientific literature.
Install the server using uv pip install git+https://github.com/blazickjp/arxiv-mcp-server.git. Configure it in your MCP client config file with the command uv run arxiv-mcp-server --storage-path /path/to/paper/storage. The server exposes four tools: search_papers, download_paper, list_papers, and read_paper, which can be called from your AI assistant.
It enables AI assistants to search, download, list, and read arXiv papers through the MCP protocol, acting as a bridge between language models and the arXiv repository.
Install it using the `uv` package manager: `uv pip install git+https://github.com/blazickjp/arxiv-mcp-server.git`. A virtual environment and Python 3.11 or higher are required.
The server offers four tools: `search_papers` (query with filters), `download_paper` (by arXiv ID), `list_papers` (view downloaded papers), and `read_paper` (access paper content).
Set the `--storage-path` argument when running the server, or use the `ARXIV_STORAGE_PATH` environment variable. The default location is `~/.arxiv-mcp-server/papers`.
Python 3.11+ is required, and the server is installed via `uv`. No other runtime dependencies are mentioned beyond those resolved by the package manager.

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