
MCP server for RescueTime productivity data
io.github.adelaidasofia由 GitHub 帳號 adelaidasofia 發布v0.1.0更新於 Oct 24, 2026
MCP server for RescueTime productivity data
概覽
一個本機 MCP 伺服器,讓助理以唯讀方式存取你的 RescueTime 生產力資料,例如每日摘要、主要活動、分類與時間趨勢。
- 可以做什麼
- 取得某一天的摘要,包含生產力脈搏、記錄時數以及高效與分心時間的對比,所有工具都接受 today、yesterday 或具體日期作為 day 參數。依花費時間列出主要應用程式與網站。依開發、溝通、社交等分類顯示時間分布。報告過去 N 天的生產力脈搏趨勢。
- 適用情境
- 當你希望助理回答關於電腦使用時間的問題時適用,例如某天效率如何、哪些應用程式占用最多時間,或過去一週的生產力趨勢如何。
- 執行需求
- 以本機程序在使用者機器上執行(僅桌面端)。需要 Python 3.11+、FastMCP 3.x、一個 RescueTime 帳號(免費或付費)以及透過環境變數 RESCUETIME_API_KEY 提供的 RescueTime API 金鑰。需要連線至 RescueTime Analytic Data API 的網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 MCP server for RescueTime productivity data,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
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
All tools accept a day parameter: "today", "yesterday", or "YYYY-MM-DD".
Install
Open Claude Code, paste:
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
Or with uv:
3. Add to Claude Code
Or add manually to your .mcp.json:
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.
來源:README.md,提交 8654e65
工具
0版本歷史
1- v0.1.0最新Sep 16, 2026
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