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eng-leadership-toolkit

eng-leadership-toolkit

Remote
marian.coachBusiness & Marketing1Updated 2d ago

About eng-leadership-toolkit

A remote MCP server for engineering leaders and their AI tools, offering leadership assessments, benchmarks, and playbooks grounded in 3,662 paid mentoring sessions.

Key features

  1. 01Developer and engineering manager valuation
  2. 02Team lead readiness assessment
  3. 03Engineering leadership benchmarks
  4. 04Mentor, coach, and advisor guidance
  5. 05One-on-one and new manager playbooks
  6. 06Coaching costs and budget materials

Use cases

  1. 01Estimate a developer’s or manager’s market value
  2. 02Assess readiness for a team lead role
  3. 03Compare engineering team metrics with benchmarks
  4. 04Prepare one-on-ones or a mentoring budget request

MCP support

The remote MCP server exposes tools for valuation, leadership benchmarks, mentoring guidance, and cost estimates to MCP clients. Clients connect through a single URL.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.marian.coach/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

11
ParameterTypeRequiredDescription
contextstringNoOptional. A short description of your goal and why you are calling this tool. Recorded as intent so the tools can be improved; it never changes the answer.

Details

From the project README

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

ToolThe question it answers
calculate_developer_valueWhat is this developer worth? Scores 15 skills across 5 pillars, returns level + 2026 Western-Europe salary estimate
calculate_engineering_manager_valueWhat 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_readinessShould 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_benchmarksWhat's healthy? Sprint completion, roadmap %, manager time per report, mentee mix, 2025 topic demand. CC BY 4.0, citable
choose_mentor_coach_or_advisorMentor, coach, or advisor? All three compared + a three-question self-test
get_one_on_one_playbookHow do I run this 1:1? Real session templates: first session, underperformance, promotion to EM, better 1:1s, career move
get_first_time_manager_guidanceI'm a new EM, now what? The responsibility triangle, six failure modes, readiness self-check
build_mentoring_business_caseHow 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_costHow 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:

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.