# Chat Logger

> Use this tool when you need to record and save chat conversations for future reference or analysis. It takes chat messages and an optional conversation ID as input, and outputs formatted Markdown files with timestamps, role information, and message content. Ideal for use cases like record-keeping, conversation analysis, or archiving important discussions.

Canonical page: https://skillsregistry.net/skills/alexifeng-chat-logger  
JSON: https://api.skillsregistry.net/v1/skills/alexifeng-chat-logger

## Description

MCP Chat Logger is a simple tool that allows AI assistants to save chat conversations as formatted Markdown files. Developed by Alexi.F, this implementation provides a single function that takes chat messages and an optional conversation ID, then saves them with timestamps in a structured format. The saved files include role information, timestamps, and the full content of each message, making it useful for record-keeping, analysis, or creating permanent archives of important conversations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alexifeng-chat-logger)
- **Repository:** <https://github.com/alexifeng/mcp_chat_logger>

## 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": "alexifeng-chat-logger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexifeng-chat-logger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexifeng-chat-logger/pull`

---
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
