# worklog-mcp

> worklog-mcp — feodor-ra-worklog-mcp. Use this tool when you need to automatically track and record work progress by appending tasks to a log file, solving the problem of manual logging and providing a seamless way to update work records. It takes in user input of completed tasks and outputs an updated log file, integrating with git for version control. Ideal for use in development environments where frequent progress updates are necessary.

Canonical page: https://skillsregistry.net/skills/feodor-ra-worklog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/feodor-ra-worklog-mcp

## Description

MCP server that appends what you did to the checklist of the newest log file in a directory

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/feodor-ra/worklog-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": "feodor-ra-worklog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feodor-ra-worklog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feodor-ra-worklog-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