# int

> int — fireculex-int. Use this tool when you need to retain and recall prior learnings in coding projects without re-running discovery. It provides project-scoped memory storage and retrieval capabilities via add, search, list, and delete tools, enabling efficient recall of previous interactions. Ideal for coding assistants, it solves the problem of knowledge loss and improves overall productivity.

Canonical page: https://skillsregistry.net/skills/fireculex-int  
JSON: https://api.skillsregistry.net/v1/skills/fireculex-int

## Description

Self-hosted AI memory system for coding assistants, providing project-scoped memory storage and retrieval via MCP tools (add, search, list, delete) to recall prior learnings without re-running discovery.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rd9der6pnw)
- **Repository:** <https://github.com/FireCulex/int>

## 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": "fireculex-int"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fireculex-int` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fireculex-int/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