# Recall

> Use this tool when you need to augment AI coding assistants with persistent memory and advanced search capabilities. Recall solves the problem of knowledge retention and retrieval for AI-powered coding tools, allowing for more accurate and efficient code completion and suggestion. It accepts coded inputs and outputs relevant search results, making it ideal for use cases where AI coding assistants require access to a shared knowledge base.

Canonical page: https://skillsregistry.net/skills/cashcon57-recall  
JSON: https://api.skillsregistry.net/v1/skills/cashcon57-recall

## Description

A self-hosted MCP memory server with hybrid semantic and keyword search, providing persistent memory for AI coding assistants like Claude Code, Cursor, and Windsurf.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prb1kjl5pk)
- **Repository:** <https://github.com/cashcon57/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": "cashcon57-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cashcon57-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cashcon57-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