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 3,662 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 3,662 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