Mikensey MCP Server

Mikensey MCP Server

Provides McKinsey-style strategy intelligence for real estate by enabling AI assistants to search podcast transcripts, access industry benchmarks, and apply consulting frameworks like 2×2 matrices and issue trees to analyze business situations.

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README

Mikensey MCP Server

McKinsey-style strategy intelligence for real estate — powered by 53 episodes of Mike DelPrete's Context podcast.

An open-source MCP server that gives Claude (or any MCP-compatible AI) access to real estate industry benchmarks, consulting frameworks, and full-text transcript search. Ask it to analyze your business situation using 2×2 matrices, SCR memos, issue trees, or Porter's Five Forces — grounded in real data from industry leaders.

Tools

Tool What it does
mikensey_search Full-text search across all 53 transcripts
mikensey_list_episodes Browse and filter episodes by guest or topic
mikensey_get_episode Read full or partial transcripts
mikensey_get_benchmarks Query 26 industry benchmarks (attach rates, costs, growth metrics)
mikensey_get_frameworks Browse 10 industry frameworks + 6 consulting frameworks
mikensey_analyze Apply a consulting framework (2×2, SCR, Issue Tree, Porter's, Value Chain, MECE) to your situation
mikensey_get_advice SCR-structured strategy brief combining search, benchmarks, and frameworks

Quick Start

git clone https://github.com/YOUR_USERNAME/mikensey-mcp-server.git
cd mikensey-mcp-server
npm install
npm run build

Add to Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "mikensey": {
      "command": "node",
      "args": ["/path/to/mikensey-mcp-server/dist/index.js"],
      "env": {
        "MIKENSEY_TRANSCRIPT_DIR": "/path/to/your/transcript-files"
      }
    }
  }
}

Restart Claude Desktop. You'll see "mikensey" in the tools menu.

Usage

Just talk to Claude naturally:

  • "Analyze my situation using a 2×2 matrix — I'm a broker losing agents to cloud brokerages"
  • "Give me an SCR strategy memo — I'm a mortgage LO worried about AI replacing my job"
  • "Build an issue tree for how a proptech startup can achieve profitability"
  • "What are the benchmark attach rates for mortgage in real estate?"
  • "Which episodes cover Zillow's strategy?"

What's Inside

26 industry benchmarks — specific numbers cited by leaders like Tamir Poleg (Real), Glenn Sanford (eXp), Garth Graham (Stratmore), Justin Messer (Prosperity), and more. Attach rates, origination costs, agent productivity, growth metrics.

10 industry frameworks — mental models from the podcast: the 3-Lever Consumer Value Model, the Brokerage Pretzel, the Agent Value Equation, Hand-to-Hand Combat, W-H-Y sales framework, and more.

6 consulting frameworks — McKinsey-style analytical tools: 2×2 Matrix, Situation-Complication-Resolution (SCR), Issue Trees (MECE), Porter's Five Forces, Value Chain Analysis, and MECE Breakdowns. Each comes with real estate examples and pre-built templates.

4 pre-built 2×2 matrices — Brokerage Business Models, Mortgage Origination Strategy, Proptech Startup Survival, Agent Recruitment & Retention — with companies plotted and insights synthesized from transcript evidence.

3 pre-built issue trees — Brokerage Profitability, Mortgage Growth Strategy, Proptech Product-Market Fit — with MECE branches and supporting data.

Transcript Format

The server expects .txt files named like:

YYYY-MM-DD_guest-name-episode-title.txt

For example: 2024-03-15_varun-krishna-rockets-next-chapter.txt

Configuration

Environment Variable Default Description
MIKENSEY_TRANSCRIPT_DIR ~/Documents/CodingJourney/Mikensey/context-podcast-transcripts Path to folder with .txt transcript files

Development

npm run dev    # Watch mode with tsx
npm run build  # Compile TypeScript
npm start      # Run compiled server

BYO Transcripts

This server works with any set of transcripts in the expected format. You could adapt it to your own podcast, interview series, or research corpus — just point MIKENSEY_TRANSCRIPT_DIR at your files.

Cost

Zero. Runs entirely locally. No API keys, no external services, no ongoing costs.

License

MIT

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