Skip to main content

sunnychou zmcp_data_analyzer

Project description

数据分析助手

本地调试

安装依赖包

uv sync

启动命令(如下是讲课的时候的目录,同学需要根据自己的实际情况调整)

uv --directory /Users/Desktop/coding/zmcp-data-analzyer run main.py

提示词

分析{需要分析的文件路径}的各个方面,包含文字和图表,将分析结果保存为markdown格式的分析报告, 分析报告保存到{文件保存路径}目录下

MCP 配置

{
   "zmcp-data-analyzer":{
       "command": "uvx",
      "args": ["zmcp-data-analyzer"]
   }
}

对外分享

三步:
01 账号申请
02 上传压缩包到pypi
03 测试效果

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zmcp_data_analzyer-0.4.0.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

zmcp_data_analzyer-0.4.0-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file zmcp_data_analzyer-0.4.0.tar.gz.

File metadata

  • Download URL: zmcp_data_analzyer-0.4.0.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.0

File hashes

Hashes for zmcp_data_analzyer-0.4.0.tar.gz
Algorithm Hash digest
SHA256 a7f95e6b57f2a75c34fac83f3094475e43bb245d3a565337864aa613273e1cdd
MD5 b0863805ee78614161223efe0d10e98d
BLAKE2b-256 42c554f9f3bd4536310ffc1751625fd1f40b2a48544a9f048a55dc31e03df8b3

See more details on using hashes here.

File details

Details for the file zmcp_data_analzyer-0.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for zmcp_data_analzyer-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0fa9418f79b21a44bec93d61862994d157e4d937c36f25e08cc8f99ee4f1cc83
MD5 08d3300bd9c3834ac9a6e2e4852d7773
BLAKE2b-256 e834626f6ed8538c7d631a00509dc9fa36912347bf9c00d16aa2a465e5acb262

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page