# mcp-geo-reconcile

> mcp-geo-reconcile — pipeworx-io-mcp-geo-reconcile. Use this tool when you need to reconcile geographic data between Wikidata and OpenStreetMap, solving data inconsistencies and integration challenges. It takes geographic data as input and outputs reconciled data, enabling seamless exchange between the two platforms. Ideal for use cases requiring unified geographic information, such as data migration, integration, or validation.

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

## Description

Wikidata <-> OpenStreetMap reconciliation.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-geo-reconcile)

## 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-geo-reconcile"
    }
  }
}
```

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