# RescueTime MCP Server

> Use this tool when you need to access and manage productivity data through natural language interactions, solving problems such as tracking offline time, creating highlights, and managing focus sessions. It provides comprehensive analytics retrieval and supports various features through the Model Context Protocol. Ideal for use cases requiring streamlined productivity data management and automated workflows.

Canonical page: https://skillsregistry.net/skills/ebowman-rescuetime-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ebowman-rescuetime-mcp

## Description

Enables comprehensive access to RescueTime productivity data and features through the Model Context Protocol. Supports analytics retrieval, focus session management, highlights creation, and offline time tracking through natural language interactions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vnvk2a47qz)
- **Repository:** <https://github.com/ebowman/rescuetime-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": "ebowman-rescuetime-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ebowman-rescuetime-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ebowman-rescuetime-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