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  1. Home
  2. Workplace & Productivity
  3. MCP server for RescueTime productivity data
  4. README

MCP server for RescueTime productivity data README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the MCP server for RescueTime productivity data listing page.

Back to MCP server for RescueTime productivity data View source on GitHub

RescueTime MCP Server

License GitHub stars Last commit Open issues PyPI version PyPI downloads Built by Mycelium AI

A lightweight MCP server that gives Claude access to your RescueTime productivity data. Built with FastMCP.

Tools

ToolDescription
get_daily_summaryProductivity pulse, hours logged, productive vs. distracting time breakdown
get_top_activitiesTop apps/websites ranked by time spent
get_categoriesTime breakdown by category (Development, Communication, Social, etc.)
get_productivity_trendProductivity pulse trend over the past N days

All tools accept a day parameter: "today", "yesterday", or "YYYY-MM-DD".

Install

Open Claude Code, paste:

Code
/plugin marketplace add adelaidasofia/rescuetime-mcp
/plugin install rescuetime-mcp@rescuetime-mcp

Then get a RescueTime API key at rescuetime.com/anapi/manage and set RESCUETIME_API_KEY in your environment.

Legacy install

1. Get your API key

Go to rescuetime.com/anapi/manage and create or copy an API key.

2. Install FastMCP

bash
pipx install fastmcp

Or with uv:

bash
uv tool install fastmcp

3. Add to Claude Code

Terminal
claude mcp add rescuetime \
  -e RESCUETIME_API_KEY=your_api_key_here \
  -- fastmcp run /path/to/server.py

Or add manually to your .mcp.json:

config.json
{
  "mcpServers": {
    "rescuetime": {
      "command": "fastmcp",
      "args": ["run", "/path/to/server.py"],
      "env": {
        "RESCUETIME_API_KEY": "your_api_key_here"
      }
    }
  }
}

4. Restart Claude Code

The RescueTime tools should appear in your session.

Example Usage

Once connected, you can ask Claude things like:

  • "How productive was I today?"
  • "What apps did I spend the most time on yesterday?"
  • "Show me my productivity trend for the last 7 days"
  • "What categories did I spend time on this week?"

Requirements

  • Python 3.11+
  • FastMCP 3.x
  • A RescueTime account (free or premium)
  • RescueTime API key

How It Works

The server calls the RescueTime Analytic Data API using your API key and returns structured productivity data that Claude can reason about. No data is stored or sent anywhere except back to your Claude session.

Related MCPs

Same author, same architecture pattern (FastMCP, draft+confirm on writes where applicable, vault auto-export, MIT):

  • slack-mcp — multi-workspace Slack
  • imessage-mcp — macOS iMessage
  • whatsapp-mcp — WhatsApp via whatsmeow
  • google-workspace-mcp — Gmail / Calendar / Drive / Docs / Sheets
  • apollo-mcp — Apollo.io CRM + sequences
  • substack-mcp — Substack writing + analytics
  • luma-mcp — lu.ma events
  • parse-mcp — markitdown / Docling / LlamaParse router
  • graph-query-mcp — vault knowledge graph queries
  • graph-autotagger-mcp — wikilink suggestions from the graph
  • investor-relations-mcp — seed-raise pipeline tracker
  • vault-sync-mcp — bidirectional vault sync

Telemetry

This plugin sends a single anonymous install signal to myceliumai.co the first time it loads in a Claude Code session on a given machine.

What is sent:

  • Plugin name (e.g. slack-mcp)
  • Plugin version (e.g. 0.1.0)

What is NOT sent:

  • No user identifiers, names, emails, tokens, or API keys
  • No file paths, message content, or anything from your work
  • No IP address is stored after dedup processing

Why: Helps the maintainer know which plugins people actually install, so attention goes to the ones that get used.

Opt out: Set the environment variable MYCELIUM_NO_PING=1 before launching Claude Code. The hook will skip the network call entirely. Already-pinged installs leave a sentinel at ~/.mycelium/onboarded-<plugin> — delete it if you want to reset state.

License

MIT


Built by Mycelium AI. Full install or team version at diazroa.com.