What are the prerequisites to run Upstage MCP Server?
You need an Upstage API key, Python 3.10 or higher, and Astral UV installed.
@PritamPatil2603
基本信息
A Model Context Protocol server for parsing documents using Upstage AI's document digitization API.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"upstage-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"upstage-mcp-server"
]
}
}
}** Processes documents and extracts content while preserving structure.
** Extracts structured information from documents based on predefined or auto-generated schemas.
The Upstage MCP Server is a Model Context Protocol (MCP) server that bridges AI assistants with Upstage AI’s document processing APIs, enabling content extraction and structuring from PDFs, images, and Office files. It is designed for developers and users who want AI models like Claude to parse and extract information from documents.
Install using uv (recommended) or pip, then configure Claude Desktop by adding the server entry to claude_desktop_config.json with your UPSTAGE_API_KEY. After restarting Claude, use the parse_document tool to extract structured content or extract_information to retrieve specific data points from a document.
You need an Upstage API key, Python 3.10 or higher, and Astral UV installed.
Results are saved locally under `~/.upstage-mcp-server/outputs/` in separate folders for document parsing, information extraction, and generated schemas.
Documents must be under 50 MB and contain fewer than 100 pages to process successfully.
Ensure `uvx` is installed and accessible in your PATH, or use its absolute path in the configuration. Restart Claude Desktop and check log files located in `%APPDATA%\Claude\logs\` (Windows) or `~/Library/Logs/Claude/` (macOS).
It requires an `UPSTAGE_API_KEY` set in the environment variables within the `claude_desktop_config.json` file. Obtain a valid key from the Upstage Console.
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