# Recall

> Use this tool when you need to manage and refine AI-generated information with controlled hallucination, precise memory recall, and selective forgetting. Recall provides a typed-edge graph memory layer, enabling audit trails and supporting multiple client interfaces like Claude Desktop and Cursor. It solves problems of information accuracy and transparency in AI applications, accepting input from various clients and outputting refined, bounded responses.

Canonical page: https://skillsregistry.net/skills/yash194-recall  
JSON: https://api.skillsregistry.net/v1/skills/yash194-recall

## Description

MCP server providing AI agents with a typed-edge graph memory layer that enables bounded hallucination, surgical forgetting, and audit trails, supporting multiple clients like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mvx2g8ob2v)
- **Repository:** <https://github.com/yash194/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": "yash194-recall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yash194-recall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yash194-recall/pull`

---
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