# MCP Memory Server

> Use this tool when you need to store and retrieve large amounts of information with semantic search capabilities, enabling AI assistants to learn from and recall long-term memories. It solves problems of knowledge retention and information retrieval, supporting various memory types and tags. Ideal for use cases requiring advanced data storage and querying, with inputs of memory data and outputs of relevant search results via PostgreSQL and pgvector interfaces.

Canonical page: https://skillsregistry.net/skills/1ooyan-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/1ooyan-mcp-memory

## Description

Enables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cg4bntr49b)
- **Repository:** <https://github.com/1OOyan/mcp-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": "1ooyan-mcp-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1ooyan-mcp-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1ooyan-mcp-memory/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