# MCP AI Memory

> Use this tool when you need to persist conversational context and manage complex knowledge relationships across multiple sessions. It solves problems of contextual understanding and information retrieval, enabling AI agents to store and retrieve relevant data using semantic search and vector embeddings. Ideal for applications requiring multi-agent isolation, intelligent caching, and clustering, with inputs of unstructured data and outputs of relevant, context-specific information.

Canonical page: https://skillsregistry.net/skills/scanadi-mcp-ai-memory  
JSON: https://api.skillsregistry.net/v1/skills/scanadi-mcp-ai-memory

## Description

Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/asp2tsw19l)
- **Repository:** <https://github.com/scanadi/mcp-ai-memory>

## 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": "scanadi-mcp-ai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scanadi-mcp-ai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scanadi-mcp-ai-memory/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