# com.clauderecall/recall

> Use this tool when you need to retain and retrieve context from previous sessions in Claude Code, enabling efficient search and recall of relevant information to inform current tasks. It solves problems of lost context and duplicated effort by allowing re-injection of previously stored data. Ideal for complex, multi-session projects requiring persistent memory and seamless continuity.

Canonical page: https://skillsregistry.net/skills/com-clauderecall-recall  
JSON: https://api.skillsregistry.net/v1/skills/com-clauderecall-recall

## Description

Persistent memory for Claude Code. Search, recall, and re-inject context from any session.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 0.61.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.clauderecall%2Frecall)

## 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": "com-clauderecall-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-clauderecall-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-clauderecall-recall/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