# DataGraph

> Use this tool when you need to visualize and analyze urban data to solve civic problems, such as optimizing public services or improving infrastructure. DataGraph provides a structured knowledge graph of locality data, enabling users to input geographic and civic data and output insightful visualizations and recommendations. It is ideal for urban planners, policymakers, and researchers seeking to make data-driven decisions.

Canonical page: https://skillsregistry.net/skills/io-github-team-earth-datagraph  
JSON: https://api.skillsregistry.net/v1/skills/io-github-team-earth-datagraph

## Description

Urban intelligence knowledge graph. Structured locality data for civic problem-solving.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.team-earth%2Fdatagraph)

## 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": "io-github-team-earth-datagraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-team-earth-datagraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-team-earth-datagraph/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