# pymdu

> Use this tool when you need to analyze and process urban data using natural language commands, enabling seamless communication between Claude Desktop or Gemini CLI and PyMDU tools. It solves problems related to urban data analysis by providing an interface for inputs such as natural language queries and outputs like processed data insights. Use pymdu in contexts where intuitive and efficient urban data processing is required.

Canonical page: https://skillsregistry.net/skills/rupeelab17-mcp-pymdu  
JSON: https://api.skillsregistry.net/v1/skills/rupeelab17-mcp-pymdu

## Description

Enables Claude Desktop or Gemini CLI to communicate with PyMDU, allowing analysis and processing of urban data using PyMDU tools through natural language commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t3uhypwsyg)
- **Repository:** <https://github.com/rupeelab17/mcp_pymdu>

## 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": "rupeelab17-mcp-pymdu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rupeelab17-mcp-pymdu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rupeelab17-mcp-pymdu/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