Getting Started

Install c4reqber, run your first discovery pipeline, and configure MCP tools. From zero to paradigm shift in 5 minutes.

1. Installation

pip install c4reqber

Requires Python 3.11+.

Verify the installation:

blast --help  # c4reqber v5.6.0

Run the interactive configuration wizard:

blast setup

2. Quick Commands

Command	What it does
blast solve "problem"	One-shot discovery pipeline → article/blueprint/whitepaper
blast turbo "topic"	Paradigm-shifting research proposal + verification
blast flash "question"	Quick answer (2–10s)
blast auto "query"	Auto-routed to best mode
blast turbofactory "domain"	Parallel pipeline factory (mini/standard/mega/giga)
blast tui	TUI v9 Cockpit — feed-driven discovery UI
blast tui --demo --story=crispr	Demo mode without backend
blast serve --mcp	MCP server for AI agents (21 tools)

3. Your First Discovery

# One-shot discovery → strategic artifact
blast solve "quantum effects in photosynthesis"

# Paradigm-shifting research proposal
blast turbo "language evolution through horizontal gene transfer"

# Quick answer with sources
blast flash "What is the TRIZ principle of segmentation?" --sources

# TUI v9 Cockpit
blast tui

4. MCP Server Setup

c4reqber can be used as an MCP tool for AI agents (Claude, Cursor, Cline, Continue.dev). Add it to your MCP configuration:

// mcp-config.json
{
  "mcpServers": {
    "c4reqber": {
      "command": "blast",
      "args": ["serve", "--mcp"]
    }
  }
}

Available MCP Tools

Tool	Description
c4_solve	12-stage discovery pipeline
c4_search	51 knowledge sources
c4_triz	40 TRIZ principles + CDI resolution
c4_verify	Lean4/Coq/Dafny/Agda/Hoare/Z3
c4_simulate	38 engine adapters
c4_bayesian	MCMC / BMA inference
c4_causal	Do-calculus discovery
c4_fingerprint	Z₃³ state classification
c4_export	LaTeX / Markdown / BibTeX
c4_transfer	Cross-domain isomorphism
c4_autoresearch	Karpathy-style ML loop
c4_meta	Meta-cognitive reflection

5. Configuration

# View current setup
c4reqber config --show

# Set model per phase
c4reqber config --set F=claude-sonnet-4.6

# Set cost tier
c4reqber config --tier balanced --save  # $0.35/run
c4reqber config --tier budget --save     # $0.002/run

6. Next Steps

• Register API keys — OpenRouter + scientific knowledge sources
• Configure GPU acceleration — Apple Silicon or NVIDIA CUDA
• Read the Architecture guide — understand 7-layer system design
• Explore the API reference — CLI, Python, REST, MCP
• See verified proposals — real outputs from the pipeline