# mcp-memory-bank

> Use this tool when you need to manage persistent memory efficiently, solving data storage and retrieval problems in various applications. It provides a seamless interface for storing and retrieving data using ChromaDB vector store, with inputs of data to be stored and outputs of retrieved data. Ideal for use cases requiring reliable data management, such as AI model training and data-intensive workflows, with easy deployment via Docker support.

Canonical page: https://skillsregistry.net/skills/bsmi021-mcp-memory-bank  
JSON: https://api.skillsregistry.net/v1/skills/bsmi021-mcp-memory-bank

## Description

Enables persistent memory management using ChromaDB vector store, with Docker support for easy deployment.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbugxwul82)
- **Repository:** <https://github.com/bsmi021/mcp-memory-bank>

## 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": "bsmi021-mcp-memory-bank"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bsmi021-mcp-memory-bank` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bsmi021-mcp-memory-bank/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