# Contextual Memory MCP

> Contextual Memory MCP — dacodechick-contextual-memory-mcp. Use this tool when you need to retain and recall contextual information across interactions, solving problems of knowledge loss and inconsistent responses in AI models. It provides a persistent memory interface, accepting input from AI models and outputting relevant contextual data to inform their decisions. Ideal for use cases requiring continuity and coherence, such as conversational AI and personalized recommendations.

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

## Description

A local-first persistent contextual-memory engine with an MCP adapter for AI models such as Qwen.

## Trust

- **Trust score (0–1):** 0.49
- **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/byxzn7k0uw)
- **Repository:** <https://github.com/DaCodeChick/contextual-memory-mcp>

## 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": "dacodechick-contextual-memory-mcp"
    }
  }
}
```

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