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Hug0x0/mcp-reunion

by Various

MCP server for La Réunion open data

H

MCP

Hug0x0/mcp-reunion

Added 1 June 2026

Overview

Hug0x0/mcp-reunion is a Model Context Protocol server that provides access to open data from La Réunion. It allows AI agents to query and retrieve public datasets through a standardized MCP interface.

Best for

Best for
Developers building MCP-based tools that need to incorporate public data from La Réunion

Use cases

  • Querying La Réunion open data portals for geographic or demographic information
  • Integrating local public data into AI-driven applications or chatbots
  • Building tools that combine MCP with regional datasets for analysis

Notes

Hug0x0/mcp-reunion is a Model Context Protocol server that provides access to open data from La Réunion. It allows AI agents to query and retrieve public datasets through a standardized MCP interface.

0 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Use cases

  • Querying La Réunion open data portals for geographic or demographic information
  • Integrating local public data into AI-driven applications or chatbots
  • Building tools that combine MCP with regional datasets for analysis

Pros

  • Provides structured access to a specific regional open data source
  • Uses the MCP standard for easy integration with compatible agents
  • Written in TypeScript for type safety and broad ecosystem support

Cons

  • Limited to La Réunion data, not useful for other regions
  • No stars or community adoption yet, indicating early stage
  • Dependent on the availability and quality of the underlying open data

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

Pros

  • Provides structured access to a specific regional open data source
  • Uses the MCP standard for easy integration with compatible agents
  • Written in TypeScript for type safety and broad ecosystem support

Cons

  • Limited to La Réunion data, not useful for other regions
  • No stars or community adoption yet, indicating early stage
  • Dependent on the availability and quality of the underlying open data
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