# mcp-memory-layer

> mcp-memory-layer — chapmancl-mcp-memory-layer. Use this tool when you need to implement a persistent memory layer for AI agents, enabling them to retain and retrieve information across sessions. The mcp-memory-layer solves data persistence and retrieval problems, providing a self-curating and schema-free interface through a REST API backed by MongoDB with vector search. It accepts AI agent inputs and outputs stored data, ideal for use cases involving Claude, Copilot, and other compatible AI frameworks.

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

## Description

Persistent memory layer for AI agents — MCP server + REST API backed by MongoDB with vector search. Self-curating, schema-free, cross-session. Works with Claude, Copilot, Bedrock AgentCore, LangChain, CrewAI, AutoGen.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/chapmancl/mcp-memory-layer)

## 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": "chapmancl-mcp-memory-layer"
    }
  }
}
```

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