# mcp-memory

> mcp-memory — opspresso-mcp-memory. Use this tool when you need to persist data across multiple runs of an Agent Studio project, storing and retrieving information as needed. The mcp-memory server utilizes S3 storage, allowing agents to recall, remember, list, and forget memories through exposed tools. This enables agents to learn from past experiences and make informed decisions in future interactions.

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

## Description

An MCP server that gives an Agent Studio project a memory that outlives a run, using S3 for storage and exposing tools to recall, remember, list, and forget memories.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b95cpalv6j)
- **Repository:** <https://github.com/opspresso/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": "opspresso-mcp-memory"
    }
  }
}
```

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