The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Elc Toolkit listing page.
"Is my engineering org top-heavy?" "How do I justify a conference/community sponsorship budget internally?" "Should I start a local engineering-leadership meetup?"
Your AI already gets asked these. Now it can answer with first-party data from Engineering Leaders Community: 3,300+ engineering leaders across Prague, Brno, Bratislava and Kraków, running since 2019, instead of guessing.
This is a remote MCP server. No install, no API key. One URL:
Open in a browser instead: The ELC Toolkit.
| Tool | The question it answers |
|---|---|
benchmark_leadership_ratio | Is my org's manager-to-senior-IC ratio healthy? Compares your split against the ELC peer baseline (69% manager / 21% senior IC across 3,300+ CEE leaders) |
build_partnership_business_case | How do I justify a partnership budget for ELC internally? Real reach numbers, goal-specific framing, and a forwardable approval email — no invented pricing |
assess_community_launch_readiness | Should I start an engineering-leadership meetup in my city? 5-question readiness check straight from ELC's own new-city launch playbook |
Claude Code
Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → paste https://www.engineeringleaders.io/mcp
Cursor — add to .cursor/mcp.json:
ChatGPT (developer mode) — Settings → Connectors → Add → MCP server URL https://www.engineeringleaders.io/mcp
All numbers come from ELC's own member base (Attio "ELC Members" list) and its own new-city launch playbook, the real doc used to open Brno, Bratislava and Kraków — no survey panels, no scraped data. Full page: engineeringleaders.io/toolkit.
Built and maintained by Engineering Leaders Community. Questions: weare@engineeringleaders.io
MIT