# ESCAP Data Explorer MCP Server

> ESCAP Data Explorer MCP Server — un-shayani-escap-sdmx-mcp. Use this tool when you need to access official statistical data for development indicators in Asia-Pacific, or when querying SDG and thematic data through natural language is required. It solves problems related to data discovery and retrieval for development research and analysis, providing outputs in a machine-readable format. The tool takes natural language queries as input and returns relevant statistical data as output, ideal for use cases involving data-driven decision making and research in the Asia-Pacific region.

Canonical page: https://skillsregistry.net/skills/un-shayani-escap-sdmx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/un-shayani-escap-sdmx-mcp

## Description

An MCP server that provides official statistical data for development indicators in Asia-Pacific. It wraps the ESCAP Data Explorer API, letting any MCP-compatible host query SDG and thematic data through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fdaakv888u)
- **Repository:** <https://github.com/un-shayani/ESCAP-SDMX-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": "un-shayani-escap-sdmx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/un-shayani-escap-sdmx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/un-shayani-escap-sdmx-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