What does the server do vs alternatives?
It provides MCP tools to read Quip spreadsheet data and return it as CSV, using the Quip API to export to XLSX then convert, with a fallback to HTML parsing.
@zxkane
基本信息
Model Context Procotol(MCP) server for fetching Quip document
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"quip-mcp-server": {
"command": "uvx",
"args": [
"quip-mcp-server"
]
}
}
}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。
A Model Context Protocol (MCP) server for interacting with Quip spreadsheets. It provides tools to read spreadsheet data from Quip documents and return the content in CSV format. Designed for developers building AI-powered tools that need to query spreadsheet data stored in Quip.
Install via uvx (recommended) or pip, then set environment variables QUIP_TOKEN and optionally QUIP_BASE_URL and QUIP_STORAGE_PATH. Run the server with uvx quip-mcp-server or python -m src.server. Use the quip_read_spreadsheet tool with a threadId and optional sheetName.
It provides MCP tools to read Quip spreadsheet data and return it as CSV, using the Quip API to export to XLSX then convert, with a fallback to HTML parsing.
Python 3.12, a Quip API token, and the Quip platform base URL (optional). It uses `uv` for dependency management and can run via `uvx` or `pip`.
Data is stored locally in CSV files at the configured `--storage-path` (default: `~/.quip-mcp-server/storage`). Resource URIs reference these files using `quip://` or `file://` protocols.
Large spreadsheets are truncated to 10KB in the tool response, but complete content is accessible via resource URIs. Non-spreadsheet documents return an error.
Stdio transport (and optionally HTTP in the TypeScript version). Authentication uses a Quip API token set via `QUIP_TOKEN` environment variable.
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