MCP.
The Model Context Protocol is the standard for how AI agents read structured information from the web. This site exposes its thesis, scorecard indicators, sector taxonomy, and ecosystem data as MCP resources so any compliant agent can reason over them directly.
The work indexed here is meant to be cited and reasoned over with the same seriousness whether the reader is a person, a research analyst, or a model. The MCP surface is how the second two get there.
What you can do with it
- Connect Claude Desktop or any MCP-compatible client and ask questions about High-Energy Repair with the site's full thesis, indicator data, and company database in context.
- Build an agent that watches a scorecard indicator and reports when it moves past a threshold you care about.
- Pull the ecosystem company list as structured data into a research workflow without writing a scraper.
- Query the glossary so an agent answering questions about the book uses the same definitions the author uses.
Connect
Paste this block into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent location on Windows, then restart Claude Desktop:
{
"mcpServers": {
"mecp": {
"url": "https://moreenergycleanplanet.com/mcp/sse"
}
}
}
Server URL: https://moreenergycleanplanet.com/mcp/sse. Compatible with Claude Desktop and any client that supports remote MCP servers over SSE.
Resources exposed
-
Thesis
Full text of the High-Energy Repair argument, structured by section. Shape: markdown, addressable by anchor.
-
Scorecard indicators
Current value, goal, goal year, methodology, sources, and time-series snapshots for every tracked indicator. Shape: typed records grouped by pillar.
-
Sector taxonomy
Twenty-four sectors and four pillar overviews with one-line framings and pillar membership. Shape: flat list with pillar metadata denormalized on each row.
-
Ecosystem companies
Companies building toward the four pillars, with sector tag, stage, and editorial notes. Shape: typed records filterable by sector or stage.
-
Glossary
Twenty-four canonical terms from the book and the site, with short and long definitions, chapter references, and related-term links. Shape:
schema.org/DefinedTermrecords.
For developers
Reference: the Model Context Protocol specification. Partnership inquiries from analyst platforms, research tooling, and AI products go to contact.