# data-winnipeg

> data-winnipeg — pipeworx-io-mcp-data-winnipeg. Use this tool when you need to search and query Winnipeg Open Data datasets using natural language or SoQL, to solve problems related to data discovery and retrieval. It provides inputs for natural language queries or SoQL syntax and outputs relevant datasets, metadata, and row-level data. Ideal for use cases requiring efficient access to Winnipeg's open data, such as research, analysis, or data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-data-winnipeg  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-data-winnipeg

## Description

Enables searching and querying Winnipeg Open Data datasets through natural language or SoQL, with tools for datasets, metadata, and row-level data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e2dqpmdfnj)
- **Repository:** <https://github.com/pipeworx-io/mcp-data-winnipeg>

## 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": "pipeworx-io-mcp-data-winnipeg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-data-winnipeg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-data-winnipeg/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