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r3dz4r/datapulse-my

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Open-source trust & interoperability layer for Malaysian public data: freshness monitoring, schema validation, and health reports for official datasets.

MCP

r3dz4r/datapulse-my

Added 21 Sept 2026

#ai-agent #data-engineering #data-quality #dataset #government-open-data #llms-txt #malaysia #malaysian

Overview

Open-source Python tool that acts as a trust and interoperability layer for Malaysian public data. It monitors official datasets for freshness, validates their schemas, and generates health reports. The tool is designed to give developers a clearer picture of data quality before use.

Best for

Best for
Developers working with Malaysian open data who need automated quality checks before integrating datasets

Use cases

  • Monitor official Malaysian datasets for staleness or update delays
  • Validate dataset schemas against expected structures for interoperability
  • Generate health reports to assess the reliability of public data sources

How to use

Tested with

Claude Desktop, Cursor, Cline

Notes

Open-source Python tool that acts as a trust and interoperability layer for Malaysian public data. It monitors official datasets for freshness, validates their schemas, and generates health reports. The tool is designed to give developers a clearer picture of data quality before use.

0 stars on GitHub. Last updated 2026-09-21. Licensed MIT.

Use cases

  • Monitor official Malaysian datasets for staleness or update delays
  • Validate dataset schemas against expected structures for interoperability
  • Generate health reports to assess the reliability of public data sources

Pros

  • Open source and free to use
  • Focused specifically on Malaysian public data needs
  • Provides concrete automated checks for freshness, schema, and health

Cons

  • Zero stars indicate very limited adoption or early-stage development
  • Scope is limited to Malaysian datasets, not general purpose
  • No evidence of active maintenance or community support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and free to use
  • Focused specifically on Malaysian public data needs
  • Provides concrete automated checks for freshness, schema, and health

Cons

  • Zero stars indicate very limited adoption or early-stage development
  • Scope is limited to Malaysian datasets, not general purpose
  • No evidence of active maintenance or community support

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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