# TASS MCP Server

> TASS MCP Server — sim-dad-tass. Use this tool when you need to analyze text data with reproducibility and transparency, as it provides deterministic LIWC-style dictionary scoring with provenance tracking. It solves problems of inconsistent or untrustworthy text analysis results, enabling reliable insights for researchers and AI agents. The tool accepts text inputs and outputs scored results, ideal for use cases requiring high-fidelity text analysis in various research and AI applications.

Canonical page: https://skillsregistry.net/skills/sim-dad-tass  
JSON: https://api.skillsregistry.net/v1/skills/sim-dad-tass

## Description

Provides LIWC-style dictionary scoring of text with deterministic, provenance-first analysis, enabling researchers and AI agents to perform reproducible text analysis via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/arodprceel)
- **Repository:** <https://github.com/SIM-DAD/tass>

## 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": "sim-dad-tass"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sim-dad-tass` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sim-dad-tass/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