Crude Code — MCP Server & Renderer

An oil & gas data-analytics platform built as a Model Context Protocol server plus an inline renderer that draws results directly inside the host chat app (Claude Desktop / claude.ai).

The design principle: the model does the thinking; the server does the deterministic work. There are no inner agents. The host model explores a Postgres database with a guarded, read-only SQL tool, then publishes finished deliverables — data briefings, well valuations, and maps — by handing the server a spec it validates, hydrates, and renders.

What's in here

Path	What it is
server/	FastMCP server (mcp_server.py), the valuation engine (valuation/), and maps (maps/)
renderer/	Inline React + TypeScript app (Vite, Tailwind) built to a single dist/app.html
prompts/	Model-facing prompts and the shared DB-schema reference
utils/	SQL guard, spec validation/hydration, handle stores, identity, logging
tests/	Pytest suite covering the tools, engine, maps, and guards

See CLAUDE.md for the full architecture reference.

The tools

• run_sql — guarded, SELECT-only, capped exploration query
• run_data_analysis — validates + hydrates a model-authored briefing spec and renders it inline
• forecast_wells / run_valuation — well-decline forecasting and economics, producing an interactive deal sheet
• export_valuation_xlsx — a live, editable Excel model of a valuation run
• map — a MapLibre GL well/unit/PLSS map

Requirements

• Python 3.11+ and a virtualenv (.venv)
• Node 20+ (for the renderer build)
• A Postgres database whose schema matches utils/schemas.py and prompts/inner/shared_schema.md. Populating that database (primary-source ingestion) is out of scope for this repo — point EI_DB_URL at your own.

Quick start

# 1. Python deps
python -m venv .venv
.venv/bin/pip install -r requirements.txt

# 2. Configure environment
cp .env.example .env   # then fill in EI_DB_URL and SUPABASE_DATABASE_URL

# 3. Run the MCP server (port 9000, /mcp endpoint)
.venv/bin/python server/mcp_server.py

# 4. Build the renderer
cd renderer && npm install && npm run build   # -> dist/app.html

Testing

.venv/bin/pytest -q

Tests that need a database, the Anthropic API, or network access auto-skip when the corresponding environment variable is unset.

For frontend iteration without the host app:

cd renderer && npm run dev   # http://localhost:5173/preview.html

This renders the real components against committed fixtures with hot reload.

License

Apache 2.0.