Christensen MCP Server

A Clayton Christensen persona agent for strategic advisory, implemented as an MCP (Model Context Protocol) server.

Apply disruption theory, jobs-to-be-done, and capabilities analysis to your business decisions.

What This Does

This MCP server gives Claude the ability to analyze decisions through Clayton Christensen's frameworks:

• Jobs-to-Be-Done: What job is the customer hiring your product to do?
• Disruption Theory: Is this sustaining or disruptive? Who are the non-consumers?
• Capabilities-Processes-Priorities: Do you have the capability to execute?
• Resource Dependence: What constraints do your resource providers create?

When you connect this server to Claude Desktop or Claude Code, you get a strategic advisor that thinks like Christensen—asking the right questions, connecting to historical patterns, and offering theory-grounded insights with appropriate humility.

Quick Start

Installation

# Clone the repository
git clone https://github.com/m2ai-mcp-servers/mcp-christensen.git
cd mcp-christensen

# Install dependencies
npm install

# Build
npm run build

Configure Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "christensen": {
      "command": "node",
      "args": ["/path/to/christensen-mcp/dist/index.js"]
    }
  }
}

Configure Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "christensen": {
      "command": "node",
      "args": ["./path/to/christensen-mcp/dist/index.js"]
    }
  }
}

Tools

analyze_decision

Full strategic analysis using all Christensen frameworks.

Use the analyze_decision tool to evaluate: Should we pursue enterprise customers or focus on SMBs?

Parameters:

• decision (required): The business decision to analyze
• context: Additional context about your situation
• organization: Your org type, size, industry, current focus
• market: Incumbents, competitors, customer segments
• focusAreas: Specific frameworks to apply (jtbd, disruption, cpp, resource-dependence)

case_study

Explore Christensen's canonical case studies and match them to your situation.

Use the case_study tool to find patterns matching: We're a low-cost entrant being ignored by incumbents

Available cases:

• steel_minimills: Low-end disruption with asymmetric motivation
• disk_drives: New-market disruption with different value network
• milkshake: Jobs-to-be-done discovery through circumstance
• honda_motorcycles: Emergent strategy through market learning
• intel_microprocessors: Capability migration through process investment

get_framework

Learn about any Christensen framework in detail.

Use the get_framework tool with framework: jtbd and detail: full

Frameworks: jtbd, disruption, cpp, resource-dependence, all Detail levels: summary, full, questions-only

Example Conversations

Strategic Decision Analysis

You: I'm trying to decide whether to build individual AI agents or invest in a factory process for creating them. Can you analyze this using Christensen's frameworks?

Claude: Uses analyze_decision tool

Let me think through this using Christensen's frameworks...

Jobs-to-Be-Done: What job are your customers hiring an AI agent to do? If they need specialized expertise (functional), confidence in the advice (emotional), and credibility (social), individual high-quality agents might serve that job better. But if they need to create their own agents quickly, the factory serves a different job entirely.

The Intel Pattern: I'm reminded of Intel's pivot from memory to microprocessors. The insight wasn't about resources—Japanese firms could acquire those. It was about processes. Intel's chip design an

... View full README on GitHub