# chatmcp_memory

> Use this tool when you need to retain context and continuity in large language model conversations. It solves the problem of forgotten conversation history by querying and retrieving past interactions stored in SQLite, enabling more personalized and informed responses. This tool integrates with daodao97/chatmcp, accepting conversation IDs as input and outputting relevant chat history to inform model responses.

Canonical page: https://skillsregistry.net/skills/vearne-chatmcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/vearne-chatmcp-memory

## Description

Enables large language models to remember past conversations by querying chat history stored in SQLite, directly integrating with daodao97/chatmcp.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a1vyk8rlq4)
- **Repository:** <https://github.com/vearne/chatmcp_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": "vearne-chatmcp-memory"
    }
  }
}
```

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