# DraCor (Drama Corpora Project)

> Use this tool when you need to analyze dramatic texts and character networks across languages and periods. It solves problems in literary analysis, comparative drama studies, and historical context research by providing resources for retrieving play information, character networks, and full text analysis. The tool accepts text-based inputs and returns outputs in plain text and TEI XML formats, making it ideal for in-depth examination of dramatic works within a conversation interface.

Canonical page: https://skillsregistry.net/skills/stijn-meijers-dracor  
JSON: https://api.skillsregistry.net/v1/skills/stijn-meijers-dracor

## Description

DraCor MCP Server provides a bridge to the Drama Corpora Project API, enabling Claude to analyze dramatic texts and character networks across different languages and periods. Built with Python using the FastMCP decorator-based approach, it offers resources for retrieving play information, character networks, metrics, and full text analysis in both plain text and TEI XML formats. The implementation includes tools for searching plays, comparing dramatic works, analyzing character relationships, and extracting themes from play texts, making it valuable for literary analysis, comparative drama studies, and historical context research without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stijn-meijers-dracor)
- **Repository:** <https://github.com/stijn-meijers/dracor-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": "stijn-meijers-dracor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stijn-meijers-dracor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stijn-meijers-dracor/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