retentioneering/retentioneering-tools
❌ 实测失败serverPythonApache-2.0★ 946
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
实测结果
失败
沙箱内启动/握手失败,下方给出失败阶段与原始报错。失败阶段:—,错误类型:install_failed。这类信息对判断“是不是我这边的环境问题”很有用,原始报错见下。
error_type: install_failed
install timed out after 240s
- 安装方式
- uvx
- 包名
- retentioneering
- 解析依据
- pyproject.toml name
- 沙箱
- docker
- 总耗时
- 240694 ms
- 安装耗时
- 240693 ms
- 探针版本
- 1.0.0
- 实测时间
- 2026-11-11 14:47:56
如何使用
1安装 / 启动命令uv / uvx
uvx retentioneering
2客户端配置Claude Desktop / Cursor
{
"mcpServers": {
"retentioneering-retentioneering-tools": {
"command": "uvx",
"args": [
"retentioneering"
]
}
}
}整段粘进 claude_desktop_config.json 的 mcpServers 里(Cursor 用 ~/.cursor/mcp.json),保存后重启客户端。
安装方式来源:pyproject.toml name,沙箱实测未通过。
仓库信息
- 全名
- retentioneering/retentioneering-tools
- 分类
- server
- Stars
- 946
- Forks
- 144
- 主要语言
- Python
- License
- Apache-2.0
- 最近推送
- 2026-11-08
- 仓库创建
- 2019-07-02
- 首次收录
- 2026-11-10
- 最近抓取
- 2026-11-10
#agent-skills#analytics-mcp#behaviour-analysis#clickstream#clickstream-analysis#customer-journey-analytics#customer-journey-map#data-visualization#graph-visualizer#machine-learning#predictive-analytics#predictive-modeling