@IlyaGusev
基本信息
Academia MCP server: Tools for automatic scientific research
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"academia": {
"command": "python3",
"args": [
"-m",
"academia_mcp",
"--transport",
"stdio"
]
}
}
}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。
Academia MCP is a Model Context Protocol server that provides tools to search, fetch, analyze, and report on scientific papers and datasets. It integrates with ArXiv, ACL Anthology, Hugging Face Datasets, Semantic Scholar, web search engines (Exa, Brave, Tavily), and LaTeX compilation. Designed for researchers and developers who want AI-assisted literature discovery and analysis.
Install via pip3 install academia-mcp or use uv for development. Run the server with python -m academia_mcp --transport stdio for local MCP clients or --transport streamable-http for HTTP. Configure optional environment variables to enable specific tools (e.g., OPENROUTER_API_KEY for LLM tools, WORKSPACE_DIR for file operations).
Python 3.12 or higher is required. For LaTeX/PDF tools, a LaTeX distribution with `pdflatex` and `latexmk` on PATH is needed (e.g., install via `sudo apt install texlive-latex-base texlive-fonts-recommended texlive-latex-extra texlive-science latexmk`).
Set the `ENABLE_AUTH` environment variable to `true` and optionally provide a `TOKENS_FILE` path. Use the `academia_mcp auth` commands to issue, list, and revoke tokens. Include the token in the `Authorization: Bearer <token>` header or as the `apiKey` query parameter.
Set `OPENROUTER_API_KEY` for LLM tools (`document_qa`, `review_pdf_paper`, bitflip tools). Set `WORKSPACE_DIR` for `compile_latex`, `read_pdf`, `download_pdf_paper`, and `review_pdf_paper`. Set one of `EXA_API_KEY`, `BRAVE_API_KEY`, or `TAVILY_API_KEY` for web search tools.
Build the image with `docker build -t academia_mcp .` or use the existing image `phoenix120/academia_mcp`. Run with `docker run -p 5056:5056 -e PORT=5056 -e OPENROUTER_API_KEY=... -e WORKSPACE_DIR=/workspace -v "$PWD/workdir:/workspace" academia_mcp`.
The server supports three transports: `stdio` (for local MCP clients like Claude Desktop), `sse`, and `streamable-http`. Use the `--transport` flag to select one. The `host`/`port` options apply only to HTTP transports; default port is `5056` (or from `PORT` environment variable).
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