# prosuite-mcp

> Use this tool when you need to verify the quality of geospatial datasets using natural language inputs, enabling AI assistants to perform data quality checks through the MCP server. It solves problems related to data accuracy and consistency, providing outputs on data quality issues detected. Ideal for use cases where geospatial data validation is crucial, such as mapping and location-based applications.

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

## Description

MCP server that exposes Dira ProSuite quality verification to AI assistants, enabling data quality checks on geospatial datasets through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **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/eh6laa4raa)
- **Repository:** <https://github.com/ProSuite/prosuite-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": "prosuite-prosuite-mcp"
    }
  }
}
```

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