# Docker SWISH MCP Server

> Use this tool when you need to integrate Prolog logic programming into your workflow, particularly for applications requiring cognitive architecture support and persistent notebooks. It solves problems related to knowledge representation, reasoning, and rule-based systems, providing a Docker SWISH container for seamless integration. Ideal for use cases involving complex decision-making, expert systems, and AI-powered logic processing.

Canonical page: https://skillsregistry.net/skills/angrysky56-docker-swish-mcp  
JSON: https://api.skillsregistry.net/v1/skills/angrysky56-docker-swish-mcp

## Description

Provides Prolog logic programming integration for Claude via a Docker SWISH container, with persistent notebooks and cognitive architecture support.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z91hmgwbmz)
- **Repository:** <https://github.com/angrysky56/docker-swish-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": "angrysky56-docker-swish-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angrysky56-docker-swish-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angrysky56-docker-swish-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