# ai.nocturnus/logic-server

> Use this tool when you need to enable agent reasoning and memory for AI applications, solving problems related to context optimization and token management. It provides a logic server that takes in input data and outputs optimized context for informed decision-making. Ideal for use cases requiring intelligent agent interactions, such as chatbots, virtual assistants, and automated reasoning systems.

Canonical page: https://skillsregistry.net/skills/ai-nocturnus-logic-server  
JSON: https://api.skillsregistry.net/v1/skills/ai-nocturnus-logic-server

## Description

Agent reasoning, memory, and token-optimized context for AI applications.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.11
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.nocturnus%2Flogic-server)
- **Repository:** <https://github.com/Auctalis/nocturnusai>

## 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": "ai-nocturnus-logic-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-nocturnus-logic-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-nocturnus-logic-server/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