Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/druellan/productive-simple-mcp/agents-mdgit clone --depth 1 https://github.com/druellan/Productive-Simple-MCPWrote 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/druellan/productive-simple-mcp/agents-md)<a href="https://agentmods.dev/instructions/druellan/productive-simple-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/druellan/productive-simple-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.00421 | $0.00421 |
| Opus 5 | $0.00211 | $0.00211 |
| Sonnet 5 | $0.00084 | $0.00084 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
Productive-Simple-MCP AGENTS.md scanned grade A with 0 findings 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Do
- Use uv for Python package management
- Follow Python 3.10+ syntax and type hints
- Use async/await for I/O operations
- Use TOON output for efficiency
Don't
- Don't expose API keys or secrets
- Don't use sync HTTP calls
- Don't hardcode credentials
Quick Commands
- Install dependencies:
uv sync - Run server:
python server.py - Check syntax:
python -m py_compile server.py tools.py config.py productive_client.py utils.py
Repo Map
server.py: FastMCP server setup and tool definitionstools.py: Implementation of Productive API callsconfig.py: Environment variable configurationproductive_client.py: HTTP client for Productive APIutils.py: Helper functionspyproject.toml: Project metadata and dependencies
Working Rules
- Use async/await for all I/O operations
- Validate configuration on startup
- Strip HTML and optimize output for LLMs
- Include webapp URLs in responses for direct access
- Handle errors gracefully without exposing internals
Verification Steps
- Run
python -m file.pyand confirm no startup errors - Check that all tools are registered in MCP
- Verify TOON/JSON output formats work
- Smoke test the packaged entrypoint: set
PRODUCTIVE_API_KEYandPRODUCTIVE_ORGANIZATION, then runuv run productive-mcpand confirm the server starts withoutTypeError: 'FastMCP' object is not callable - Ask the user for testing instructions when necessary
Security Boundaries
- API tokens loaded from environment variables only
- No logging of sensitive data
- HTTPS enforced for all API requests
- Error messages don't leak credentials
PR/Change Checklist
- Server starts without errors
- No secrets or credentials committed
- Type hints added for new functions
- Output optimized for LLM consumption
- README updated if tools changed
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.
- 5d ago First seen · 58 lines · 421 tokens per session scan A dd2a280aa4b9
Productive-Simple-MCP AGENTS.md is an instructions file published in the GitHub repository druellan/Productive-Simple-MCP (0 stars, last pushed 7d ago), licensed MIT. It adds 421 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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