
MCP server for RescueTime productivity data
io.github.adelaidasofia由 GitHub 账号 adelaidasofia 发布v0.1.0更新于 Oct 24, 2026
MCP server for RescueTime productivity data
概览
一个本地 MCP 服务器,让助手以只读方式访问你的 RescueTime 生产力数据,例如每日摘要、主要活动、分类和时间趋势。
- 可以做什么
- 获取某一天的摘要,包括生产力脉搏、记录时长以及高效与分心时间的对比,所有工具都接受 today、yesterday 或具体日期作为 day 参数。按花费时间列出主要应用和网站。按开发、沟通、社交等分类展示时间分布。报告过去 N 天的生产力脉搏趋势。
- 适用场景
- 当你希望助手回答关于电脑使用时间的问题时适用,例如某天效率如何、哪些应用占用时间最多,或过去一周的生产力趋势如何。
- 运行要求
- 作为本地进程在用户机器上运行(仅桌面端)。需要 Python 3.11+、FastMCP 3.x、一个 RescueTime 账户(免费或付费)以及通过环境变量 RESCUETIME_API_KEY 提供的 RescueTime API 密钥。需要访问 RescueTime Analytic Data API 的网络连接。
安装
在 SourceWeft 中
- 打开 控制台中的 MCP server for RescueTime productivity data,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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.
来源:README.md,提交 8654e65
工具
0版本历史
1- v0.1.0最新Sep 16, 2026
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