# dprr-mcp

> dprr-mcp — gillisandrew-dprr-mcp. Use this tool when you need to query prosopographic data on the Roman Republic using natural language, generating validated SPARQL queries against the DPRR RDF dataset. It solves problems of data retrieval and validation for historians and researchers, providing outputs with uncertainty flags and source citations. Ideal for use cases requiring accurate and transparent data analysis of Roman Republic figures and relationships.

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

## Description

Natural-language prosopographic queries for the Roman Republic. Generates validated SPARQL against the DPRR RDF dataset and synthesises results with uncertainty flags and source citations.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/gillisandrew/dprr-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": "gillisandrew-dprr-mcp"
    }
  }
}
```

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

---
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