# recall

> Use this tool when you need to retrieve and reuse information from past sessions, avoiding redundant explanations and context re-establishment. It provides lexical search, listing, and retrieval of memories, enabling efficient cross-session memory recall. Ideal for applications requiring knowledge retention and context continuity, such as conversational AI and dialogue systems.

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

## Description

A zero-dependency MCP server for cross-session memory recall in Claude Code. Provides lexical search, listing, and retrieval of past session memories to avoid re-explaining context.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/taie5ppch8)
- **Repository:** <https://github.com/Zavelinski/recall>

## 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": "zavelinski-recall"
    }
  }
}
```

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