spss-mcp

Name: spss-mcp
Author: spss-mcp Contributors

MCP serverMCP

MCP server for IBM SPSS Statistics (macOS + Windows): paper-ready charts, deep result parsing, and safe syntax execution

by spss-mcp Contributorsrepository ↗homepage ↗v1.1.2MIT

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# spss-mcp (macOS + Windows) > 让 SPSS 成为 Agent 的「统计引擎 + 制图工厂」：论文级图片、深度结果解析、方法真机验证、安全执行。 **简体中文** ｜ [English](README.en.md) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![PyPI](https://img.shields.io/pypi/v/spss-mcp.svg)](https://pypi.org/project/spss-mcp/) [![Python](https://img.shields.io/badge/Python-3.10%2B-blue.svg)]() [![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Windows-blue.svg)]() 面向 **IBM SPSS Statistics** 的 MCP（Model Context Protocol）服务器，供 Cursor / Claude Code / Codex 等 Agent 调用本机 SPSS。本仓库基于上游 [`flupke91/spss-studio-mcp`](https://github.com/flupke91/spss-studio-mcp)（MIT），在其能力之上增加了 **macOS / SPSS 27+** 适配与若干兼容性修复，并在 **macOS + IBM SPSS Statistics 27** 真机验证通过。 ## 能力概览 - **论文级出图**：11 类 `spss_chart_*`，PNG / TIFF / EMF（1950×1500 @300 dpi） - **深度结果解析**：OMS 文本 → Markdown + JSON + 统计摘要 - **分析方法**：描述 / t / ANOVA / 回归 / 因子 / 信度 / 生存 / 混合模型 / 中介调节等 - **安全执行**：危险命令拦截、路径白名单、`dry_run`、审计日志 - **跨平台引擎**：Windows（`stats.exe`）与 macOS（`SPSS Statistics.app` + 捆绑 Python3 XD） ## 本 fork 相对上游的主要改动 | 项 | 说明 | |----|------| | macOS 探测 | 自动发现 `/Applications/IBM SPSS Statistics *` | | XD 启动 | 设置 `SPSS_HOME`、`DYLD_*`，修复捆绑 `libpython` 加载 | | 出图 | macOS HTML 内嵌 JPEG → 自动转 PNG，再缩放至 300 dpi | | 路径 | 相对路径解析为绝对路径，避免 SPSS Error #61 | | 解析 | 避免把 ANOVA 表中的 Error SS 误判为 `Error #` | | 样例数据 | 宽表 / 长表纵向数据对齐，便于 RM-ANOVA 与 MIXED | ## 系统要求 - Python 3.10+ - 本机已授权的 **IBM SPSS Statistics**（已在 **27（macOS）** 验证；上游在 **32（Windows）** 验证） - macOS：安装包内需含 `Resources/Python3`（XD API） ## 快速开始优先从 **PyPI** 安装（无需 clone）： ```bash pip install spss-mcp # 或：uv pip install spss-mcp spss-mcp status # 应显示 SPSS batch / python: OK ``` 免安装即跑（类似 `npx`）： ```bash uvx spss-mcp status uvx spss-mcp serve ``` macOS 若未自动发现安装，可设置： ```bash export SPSS_INSTALL_PATH="/Applications/IBM SPSS Statistics 27" ``` 配置 Cursor（`~/.cursor/mcp.json`）： ```json { "mcpServers": { "spss-mcp": { "command": "uvx", "args": ["spss-mcp", "serve", "--transport", "…

chartdata-analysismacosmcppsychologysocial-sciencespssstatistics

kind PyPI

name PyPI

license PyPI

repoUrl PyPI

summary PyPI

version PyPI

description PyPI

homepageUrl PyPI

publisherName PyPI

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PyPIspss-mcp

first seen 2 d ago · fetched 2 d agoopen ↗

Field history (9 recent events)

2 d ago · observed · packageFacts → {"name":"spss-mcp","registry":"pypi","publishedAt":"2026-10-30T12:04:13.407691Z","latestVersion":"1.1.2"}
2 d ago · declared · summary → "MCP server for IBM SPSS Statistics (macOS + Windows): paper-ready charts, deep result parsing, and safe syntax executio
2 d ago · declared · description → "# spss-mcp (macOS + Windows)\n\n> 让 SPSS 成为 Agent 的「统计引擎 + 制图工厂」：论文级图片、深度结果解析、方法真机验证、安全执行。\n\n**简体中文** ｜ [English](READ
2 d ago · declared · publisherName → "spss-mcp Contributors"
2 d ago · declared · homepageUrl → "https://github.com/kinginsun/spss-mcp/tree/main/docs"
2 d ago · declared · repoUrl → "https://github.com/kinginsun/spss-mcp/tree/main/docs"
2 d ago · declared · version → "1.1.2"
2 d ago · declared · license → "MIT"
2 d ago · declared · protocols → ["mcp"]

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