# Trapic Core

> Use this tool when you need to retain and retrieve knowledge in AI coding assistants, capturing decisions and discoveries for long-term memory. Trapic Core solves the problem of knowledge loss by storing structured traces with tag and keyword search functionality. It takes in AI coding assistant data and outputs searchable, structured knowledge traces, ideal for use cases requiring transparent and retainable AI decision-making processes.

Canonical page: https://skillsregistry.net/skills/nickjazz-trapic-core  
JSON: https://api.skillsregistry.net/v1/skills/nickjazz-trapic-core

## Description

Self-hosted MCP server for long-term memory in AI coding assistants, capturing decisions, conventions, and discoveries as structured traces with tag and keyword search.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jr4zti1xs7)
- **Repository:** <https://github.com/trapicAi/trapic-core>

## 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": "nickjazz-trapic-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nickjazz-trapic-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nickjazz-trapic-core/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