Niels Langereis

com.nielslangereis由 nielslangereis.com 發布官方發布者v1.0.0更新於 Oct 24, 2026

Essays, an enterprise AI map and a skill-matrix gap analysis on AI adoption and junior formation.

已驗證Streamable HTTP可網頁執行效率與工作流知識與記憶

概覽

AI 產生的概覽

一個遠端 MCP 伺服器,提供 Niels Langereis 關於 AI 採用與初階人才培育的文章、企業 AI 地圖和技能矩陣落差分析。

可以做什麼
依主題搜尋文章或依最新排序列出,回傳標題、日期、摘要、符合片段和連結,並可讀取單篇文章全文(Markdown 格式,附網站與 LinkedIn 連結)。取得企業 AI 地圖:十個業務職能中的 24 個示例 AI 代理,含推廣階段、最佳化目標及對其他職能的取捨。閱讀技能矩陣落差分析的方法說明,包括狀態規則、範例和致謝。針對某一角色執行該落差分析,產生可編輯的互動式矩陣,涵蓋目前由誰完成工作、人才儲備深度和培育行動。查詢 Niels Langereis 的身分、背景、演講及聯絡方式。
適用情境
適合討論 AI 採用、組織變革、治理或 AI 對初階員工成長影響時使用,也適合為特定角色做結構化的能力落差練習,而非一般性建議。也可用於了解作者能否提供協助、受聘或預約演講。
執行需求
透過 streamable HTTP 存取的遠端端點;未宣告套件、環境變數或標頭,也未宣告身分驗證。
安裝前請注意
技能矩陣工具會產生使用者可編輯的互動式矩陣,應將其輸出視為待審閱的草稿。聯絡方式透過電子郵件或網站聯絡管道提供;未見涉及付款或敏感憑證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Niels Langereis,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.nielslangereis%2Fthinking/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "niels-langereis": {
      "type": "http",
      "url": "https://nielslangereis.com/mcp"
    }
  }
}

工具

6

search_essays

Search Niels Langereis's essays

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.

輸入參數query

get_essay

Read one essay in full

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.

輸入參數id必填

get_enterprise_ai_map

Enterprise AI map

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), which is enough for most reasoning; detail='full' (default) adds the complete prose on coordination, the bench and the renderers. Optionally filter by function or phase. Shows an interactive map where the client supports it.

輸入參數phasedetailfunction

get_skill_matrix_method

Skill-matrix gap analysis: the method

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.

無需輸入參數。

run_skill_matrix

Run the skill-matrix gap analysis

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 example. The result flags 'At risk' (human work, one person deep), 'Thin' (two deep) and 'Reps gone' (AI runs it autonomously, so the formation that used to happen in reviewing it has gone too: ask where juniors get those reps now). After the user edits, their current matrix arrives in your context.

輸入參數rolecompetencies

about_niels

About Niels Langereis

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.

輸入參數topic

版本歷史

1
  1. v1.0.0最新Oct 16, 2026

評分

已滿足適用檢查項的 72%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分

    請在註冊中心條目中發布圖示。

  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。