Server data from the Official MCP Registry
Engineering leadership benchmarks, 1:1 playbooks, developer value calculator. 3,400+ sessions.
Engineering leadership benchmarks, 1:1 playbooks, developer value calculator. 3,400+ sessions.
Remote endpoints: streamable-http: https://www.marian.coach/mcp
Valid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"coach-marian-eng-leadership-toolkit": {
"url": "https://www.marian.coach/mcp"
}
}
}From the project's GitHub README.
"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?"
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
| 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 |
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 |
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.
Every response is grounded in Marian Kamenistak's mentoring practice, not model guesses:
Nothing is synthetic. Thin topics were cut rather than padded.
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
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.
MIT
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.