Borrowing it
Nothing to install: this file belongs to Jelloeater/activitywatch-mcp-server-py. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Jelloeater/activitywatch-mcp-server-py/main/AGENTS.mdgit clone --depth 1 https://github.com/Jelloeater/activitywatch-mcp-server-pyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/jelloeater/activitywatch-mcp-server-py/agents-md)<a href="https://agentmods.dev/instructions/jelloeater/activitywatch-mcp-server-py/agents-md"><img src="https://agentmods.dev/badge/instructions/jelloeater/activitywatch-mcp-server-py/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jelloeater/activitywatch-mcp-server-py/agents-md"><img src="https://agentmods.dev/badge/instructions/jelloeater/activitywatch-mcp-server-py/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03362 | $0.03362 |
| Opus 5.5 | $0.01345 | $0.01345 |
| Sonnet 5.5 | $0.00672 | $0.00672 |
| Haiku 4.5 | $0.00336 | $0.00336 |
Grade A, and why
activitywatch-mcp-server-py AGENTS.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Always use `urllib.parse.quote(value, safe="")` for path parameters How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - AI Agent Context for ActivityWatch MCP Server
This document provides context for AI agents (LLMs, coding assistants) working on this project. It contains architecture decisions, conventions, and guidance for future improvements.
Project Overview
Repository: https://github.com/8bitgentleman/activitywatch-mcp-server
Purpose: Model Context Protocol (MCP) server that connects LLMs to ActivityWatch time tracking API
Language: Python 3.10+
Version: 2.0.0 (migrated from TypeScript)
Package Name: mcp-server-activitywatch
Entry Point: mcp-server-activitywatch command
Architecture
High-Level Structure
┌─────────────────┐
│ MCP Client │ (Claude Desktop, OpenCode, Crush)
│ (LLM) │
└────────┬────────┘
│ MCP Protocol (stdio)
│
┌────────▼────────────────────────────────────────────┐
│ MCP Server (Python) │
│ ┌──────────────────────────────────────────────┐ │
│ │ server.py │ │
│ │ - Stdio transport │ │
│ │ - Tool registration │ │
│ │ - Request routing │ │
│ └──────────────────┬───────────────────────────┘ │
│ │ │
│ ┌──────────────────▼───────────────────────────┐ │
│ │ tools/ │ │
│ │ - list_buckets.py │ │
│ │ - run_query.py │ │
│ │ - get_events.py │ │
│ │ - get_settings.py │ │
│ │ - query_examples.py │ │
│ └──────────────────┬───────────────────────────┘ │
└───────────────────┬─┴────────────────────────────────┘
│ HTTP (httpx)
┌──────────▼──────────┐
│ ActivityWatch API │
│ localhost:5600 │
└─────────────────────┘
Key Components
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 409 lines · 3,362 tokens per session scan A 11e4d6f9a841
activitywatch-mcp-server-py AGENTS.md is an instructions file published in the GitHub repository Jelloeater/activitywatch-mcp-server-py (5 stars, last pushed 4mo ago), licensed MIT. It adds 3,362 tokens to every session, about $0.0134 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
activitywatch-mcp-server-py AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| activitywatch-mcp-server-py AGENTS.mdJelloeater/activitywatch-mcp-server-py | Instructions file | 5 | 4mo ago | MIT | A | 3,362 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |