# unesco-mcp

> Use this tool when you need to access and analyze UNESCO Institute for Statistics data through natural language search. It solves problems of data retrieval and comparison across countries by providing a Model Context Protocol server interface that takes in search queries and returns relevant indicators and data. Ideal for use cases requiring easy and intuitive access to statistical data for informed decision-making and research.

Canonical page: https://skillsregistry.net/skills/lpicci96-unesco-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lpicci96-unesco-mcp

## Description

A Model Context Protocol server that connects AI assistants to UNESCO Institute for Statistics data, enabling natural language search, retrieval, and comparison of indicators across countries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/it0shd0war)
- **Repository:** <https://github.com/lpicci96/unesco-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lpicci96-unesco-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lpicci96-unesco-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lpicci96-unesco-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
