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Provides McKinsey-style strategy intelligence for real estate by enabling AI assistants to search podcast transcripts, access industry benchmarks, and apply con
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.
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.
| 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 |
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.
Just talk to Claude naturally:
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.
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
| Environment Variable | Default | Description |
|---|---|---|
MIKENSEY_TRANSCRIPT_DIR |
~/Documents/CodingJourney/Mikensey/context-podcast-transcripts |
Path to folder with .txt transcript files |
npm run dev # Watch mode with tsx
npm run build # Compile TypeScript
npm start # Run compiled server
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.
Zero. Runs entirely locally. No API keys, no external services, no ongoing costs.
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"mikensey-mcp-server": {
"command": "npx",
"args": []
}
}
}