ai-engineering-leader-toolkit

"I just became an engineering manager. What should I focus on?" "What's a healthy sprint completion rate?" "Do I need a mentor or a coach?" "What is this developer worth on the market?" "Should I become a team lead, or stay IC?"

Your AI already gets asked these. Now it can answer with first-party data from 3,400+ paid 1:1 mentoring sessions with 300+ engineering leaders in 17+ countries, instead of guessing.

This is a remote MCP server. No install, no API key. One URL:

https://www.marian.coach/mcp

Tools

Tool	The question it answers
`calculate_developer_value`	What is this developer worth? Scores 15 skills across 5 pillars, returns level + 2026 Western-Europe salary estimate
`calculate_engineering_manager_value`	What is this engineering manager worth? Scores 15 leadership skills across 5 pillars, weighted by level, returns Team Lead → Director/VP level + 2026 Western-Europe salary estimate
`assess_team_lead_readiness`	Should I become a team lead? 17 questions, 6 dimensions, a straight verdict (ready now / 6-12 months out / stay IC) + top-2 gaps with one move each
`get_engineering_leadership_benchmarks`	What's healthy? Sprint completion, roadmap %, manager time per report, mentee mix, 2025 topic demand. CC BY 4.0, citable
`choose_mentor_coach_or_advisor`	Mentor, coach, or advisor? All three compared + a three-question self-test
`get_one_on_one_playbook`	How do I run this 1:1? Real session templates: first session, underperformance, promotion to EM, better 1:1s, career move
`get_first_time_manager_guidance`	I'm a new EM, now what? The responsibility triangle, six failure modes, readiness self-check
`build_mentoring_business_case`	How do I get my company to pay for mentoring? Manager email (learning-budget or no-budget version), Slack short, talking points, a one-pager for finance, objections answered, napkin math — EN or CZ
`estimate_coaching_cost`	How much should a coach cost me? Fair per-session range + program total by coaching type, role, territory, and coach seniority — ICF 2025 + CEE market anchors, with red flags

The business-case tool also has a plain JSON surface for the marian.coach pricing-page wizard, same core, same output: GET https://www.marian.coach/mcp/business-case?lang=en|cs returns the wizard options, POST with the tool's input JSON returns the structured case.

Connect

Claude Code

claude mcp add -t http eng-leadership-toolkit https://www.marian.coach/mcp

Claude.ai / Claude Desktop

Settings > Connectors > Add custom connector > https://www.marian.coach/mcp

Cursor (.cursor/mcp.json)

{
	"mcpServers": {
		"eng-leadership-toolkit": {
			"url": "https://www.marian.coach/mcp"
		}
	}
}

ChatGPT

Settings > Connectors > Developer mode > Add server > https://www.marian.coach/mcp

Human-readable docs live at the same URL: open www.marian.coach/mcp in a browser.

Where the data comes from

Every response is grounded in Marian Kamenistak's mentoring practice, not model guesses:

The calculators mirror the live developer value calculator and engineering manager salary calculator
The readiness test mirrors the live team lead readiness test
Benchmarks come from the published engineering leadership statistics, licensed CC BY 4.0
Playbooks are the actual session templates used across 3,400+ sessions

Nothing is synthetic. Thin topics were cut rather than padded.

Stack

Cloudflare Workers + Durable Objects, McpAgent from the agents SDK, streamable HTTP, authless. GET /mcp with an HTML accept header serves the docs page; MCP clients hit the same URL.

npm install
npx wrangler dev      # local
npx wrangler deploy   # ship it

Author

Marian Kamenistak. 20+ years in software, grew Mews engineering 8 to 80 through Series C, now mentors engineering leaders full-time and runs the Engineering Leaders Community in CEE.

Found it useful? A star helps other engineering leaders' AIs find it too.

License

MIT

eng-leadership-toolkit