What dependencies does Open Alex MCP require?
Python 3.10 or higher and an MCP‑compatible client (e.g., Claude Desktop). The package uses the OpenAlex API and the FastMCP framework.
@drAbreu
基本信息
Professional MCP server for OpenAlex academic research - ML-powered author disambiguation, institution resolution, and comprehensive researcher profiles with ORCID integration
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"alex-mcp": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/drAbreu/alex-mcp.git",
"alex-mcp"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It is a professional Model Context Protocol (MCP) server for author disambiguation and institution resolution using the OpenAlex.org API. It provides tools for author search, work discovery, topic analysis, and source lookup, targeting researchers, librarians, and AI agents.
Install Python 3.10+, clone the repository, create a virtual environment, and install the package with pip install -e .. Run the server with ./run_alex_mcp.sh. Configure an MCP-compatible client (e.g., Claude Desktop) by adding a JSON entry pointing command to the script. The server exposes tools such as disambiguate_author, search_authors, get_author_profile, resolve_institution, search_works, get_work_details, search_topics, analyze_topics, and search_sources.
Python 3.10 or higher and an MCP‑compatible client (e.g., Claude Desktop). The package uses the OpenAlex API and the FastMCP framework.
All data is retrieved in real‑time from the OpenAlex.org API. No local database or API key is mentioned.
The server implements respectful API usage with proper delays and rate limiting. Tool parameters have maximum result limits (e.g., `max_candidates` between 1–25).
No. The README does not mention any authentication or API key requirement for accessing OpenAlex.
It uses the Model Context Protocol (MCP). The specific transport (stdio, HTTP, etc.) is not detailed in the README.
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