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SidneyBissoli/uis-mcp-server

by Various

Provenance-first MCP server for UNESCO UIS statistics (education, science, culture) — remote, Cloudflare Workers

MCP

SidneyBissoli/uis-mcp-server

Added 21 Sept 2026

#cloudflare-workers #education #education-statistics #mcp #mcp-server #model-context-protocol #open-data #provenance

Overview

MCP server that exposes UNESCO UIS statistics (education, science, culture) through a remote Cloudflare Worker. Emphasizes provenance by tracking data sources and lineage. Written in TypeScript.

Best for

Best for
Developers building AI tools that need UNESCO education, science, and culture statistics with provenance tracking.

Use cases

  • Query UNESCO UIS education, science, and culture statistics
  • Integrate provenance-tracked data into MCP clients
  • Deploy a serverless MCP server on Cloudflare Workers

How to use

Install

npx wrangler d1 execute uis-catalog --local  --file=scripts/seed-uis-catalog.sql

Tools exposed

  • uis_search_indicators
  • uis_list_geo_units
  • uis_get_data

Tested with

ChatGPT

Example client config

{\n  "mcpServers": {\n    "unesco-uis": {\n      "command": "npx",\n      "args": ["-y", "uis-mcp-server"]\n    }\n  }\n}

Notes

MCP server that exposes UNESCO UIS statistics (education, science, culture) through a remote Cloudflare Worker. Emphasizes provenance by tracking data sources and lineage. Written in TypeScript.

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

Use cases

  • Query UNESCO UIS education, science, and culture statistics
  • Integrate provenance-tracked data into MCP clients
  • Deploy a serverless MCP server on Cloudflare Workers

Pros

  • Remote deployment via Cloudflare Workers eliminates local infrastructure
  • Provenance-first design tracks data sources for auditability
  • TypeScript codebase offers type safety for developers

Cons

  • Very early stage with only 1 GitHub star
  • Limited to UNESCO UIS datasets, not general statistics
  • Requires Cloudflare Workers for deployment, which may not suit all environments

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

Pros

  • Remote deployment via Cloudflare Workers eliminates local infrastructure
  • Provenance-first design tracks data sources for auditability
  • TypeScript codebase offers type safety for developers

Cons

  • Very early stage with only 1 GitHub star
  • Limited to UNESCO UIS datasets, not general statistics
  • Requires Cloudflare Workers for deployment, which may not suit all environments

Pairs with

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