Skip to main content

数据分析助手

本地调试

uv --directory /Users/morris/Desktop/coding/mcp-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

{
   "mcp-data-analyzer":{
       "command": "uvx",
      "args": ["mcp-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

Metadata

Release files for zhongyiares-mcp-data-analyzer 0.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for zhongyiares-mcp-data-analyzer 0.8
File Size Uploaded Provenance Actions
zhongyiares_mcp_data_analyzer-0.8.tar.gz 7.5 kB Without provenance Details for zhongyiares_mcp_data_analyzer-0.8.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for zhongyiares-mcp-data-analyzer 0.8
File Interpreter ABI Platform Actions
zhongyiares_mcp_data_analyzer-0.8-py3-none-any.whl Python 3 none any Details for zhongyiares_mcp_data_analyzer-0.8-py3-none-any.whl

Total release size: 15.4 kB

Release files / zhongyiares_mcp_data_analyzer-0.8.tar.gz

Download URL zhongyiares_mcp_data_analyzer-0.8.tar.gz
Size 7.5 kB
Tags Source
SHA-256 checksum
How to use checksums
a62818b740ed04d75ec984c2fb7612cbff773c212cb9c3e4bff00039451cffdc
BLAKE2b-256 checksum
How to use checksums
b138348c1ff77667460894f1ac5e6707cb64f9591ffefb5b8e2b70a616d00efa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.4

Release files / zhongyiares_mcp_data_analyzer-0.8-py3-none-any.whl

Download URL zhongyiares_mcp_data_analyzer-0.8-py3-none-any.whl
Size 7.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1746e87eb28e6e9202bfcadb486dcae7e64f91a67c313c60a6186641d6b58c20
BLAKE2b-256 checksum
How to use checksums
110c0f403eb04729100d2a12e04ed0e3efaa83813065cbbb94e06c4938482eee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.4

Security for zhongyiares-mcp-data-analyzer 0.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.8 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page