Niels Langereis MCP Server

Install Niels Langereis MCP server

claude mcp add --transport http thinking https://nielslangereis.com/mcp

{
  "mcpServers": {
    "thinking": {
      "url": "https://nielslangereis.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "thinking": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://nielslangereis.com/mcp"
      ]
    }
  }
}

{
  "servers": {
    "thinking": {
      "type": "http",
      "url": "https://nielslangereis.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "thinking": {
      "serverUrl": "https://nielslangereis.com/mcp"
    }
  }
}

Context tax

Connecting this server adds ~1,352 tokens of tool definitions to every model turn (moderate, 6 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure

Input prices as of 2026-10-06. Excludes your own prompt and output.

Tools (6)

• run_skill_matrix481 tok

  Runs Niels Langereis's skill-matrix gap analysis for one role and shows it as an interactive matrix the user can edit (who does the work now, bench depth, formation actions). Draft 6 to 10 competencies for the user's role yourself from what you know about it, spanning routine work AI can now do with senior oversight, work AI already runs autonomously, and judgement work that needs a human. Set bench (how many people can do it at the strategic level) from what the user told you; if unknown, use 1 and say it is an estimate they should correct. Omit competencies to show the generic analyst exampl

• get_enterprise_ai_map298 tok

  Niels Langereis's enterprise AI map: 24 illustrative AI agents across ten business functions (strategy, product, design, marketing, sales, customer success, operations, people, finance, data and IT), each with its rollout phase, what it optimises for and the trade-off it creates for other functions; plus the coordination layer, the bench and the external renderers that decide whether faster work becomes a better organisation. Use it to reason about someone's own AI rollout. detail='summary' returns only the skeleton (functions, agents, phases and trade-offs, plus one line per remaining part),

• about_niels128 tok

  Who Niels Langereis is and how to work with him: what he does and for whom, how he works, his background, his talks and speaking, and how to get in touch. Use when someone asks whether he could help them, wants to hire or book him, or wants his background. Contact is by email or the site's contact form; this server does not send messages.

• search_essays127 tok

  Search the essays of Niels Langereis on AI adoption, organisational change, the politics of AI, junior formation and judgement, brand and AI agents, boards and governance. Returns titles, dates, summaries, a matching snippet and links. Leave query empty to list all essays, newest first. Follow up with get_essay for the full text before quoting him.

• get_skill_matrix_method93 tok

  Explains Niels Langereis's skill-matrix gap analysis: a competency matrix run for formation rather than efficiency, to find where AI has removed the work that used to turn juniors into seniors. Includes the status rule, how to read it, a worked example and credits. Use before run_skill_matrix if the user wants to understand the method first.

• get_essay88 tok

  Get the full text of one essay by Niels Langereis, as Markdown, with its date, site link and the original LinkedIn link. Use the id from search_essays, or a title.

Freshness

Active — last maintenance signal 4d ago. The newest of the signals below sets the band.

1. Last commit (default branch)

   no data · GitHub

2. Latest release

   no data · GitHub

3. Package published

   no data · npm/PyPI

4. Registry entry updated

   2026-10-16 · 4d ago · official registry · v1.0.0

How it compares in Communication

Against the most-starred communication servers we index. Token cost is per model turn, measured from each server's live tool list.