# mcp-dev-record

> Use this tool when you need to record and organize conversation content in a structured manner, solving problems related to data management and conversation tracking. It provides templated recording functionality, taking in conversation inputs and outputting organized records. Ideal for use cases requiring efficient conversation data management, such as dialogue systems development or content creation.

Canonical page: https://skillsregistry.net/skills/seenbefore-devrecord  
JSON: https://api.skillsregistry.net/v1/skills/seenbefore-devrecord

## Description

A dedicated MCP (Model Context Protocol) server for recording and organizing conversation content, providing templated recording functionality.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rcxoc9nagn)
- **Repository:** <https://github.com/seenbefore/DevRecord>

## 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": "seenbefore-devrecord"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seenbefore-devrecord` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seenbefore-devrecord/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