Invoctl

pip install cognis-invoctl
invoctl scan .            # → prioritized findings in seconds

🔎 Example output

Real, reproducible output from the tool — runs offline:

$ invoctl-emit --version
invoctl 1.0.0

$ invoctl-emit --help
usage: invoctl [-h] [--version] [--ledger LEDGER] [--format {table,json}]
               {create,show,list,summary,pay-link,pdf,status} ...

CLI invoicing + payment links

positional arguments:
  {create,show,list,summary,pay-link,pdf,status}
    create              create a new invoice
    show                show an invoice
    list                list all invoices
    summary             ledger summary (outstanding/collected)
    pay-link            generate a payment link
    pdf                 render invoice to PDF
    status              set invoice status

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --ledger LEDGER       ledger JSON path
  --format {table,json}

Blocks above are real invoctl output — reproduce them from a clone.

Sample result format (illustrative values — run on your own data for real findings):

{
"findings": [
    {
        "id": "123456",
        "title": "Suspicious Network Traffic",
        "description": "Network traffic from unknown IP address to internal server",
        "severity": "medium",
        "created_at": "2023-02-20T14:30:00Z"
    },
    {
        "id": "789012",
        "title": "Unusual Login Attempt",
        "description": "Failed login attempt from unknown location",
        "severity": "high",
        "created_at": "2023-02-22T10:45:00Z"
    }
]
}

Usage — step by step

1. Install:

   pip install invoctl
   

2. Create an invoice — line items are Description:qty:unit_price, repeat --item per line:

   invoctl create --number INV-1001 --client "Acme Corp" \
     --item "Design work:10:120" --item "Hosting:1:45" \
     --tax-rate 8.25 --due-days 30
   

   Invoices persist to a ledger (default invoctl_ledger.json; override with --ledger).

3. Inspect the ledger — list, show, or summarize:

   invoctl list
   invoctl show INV-1001
   invoctl summary          # outstanding vs collected
   

4. Generate a payment link and a PDF, then mark it sent/paid:

   invoctl pay-link INV-1001
   invoctl pdf INV-1001 --out INV-1001.pdf
   invoctl status INV-1001 paid
   

5. Automation — drive it from scripts with machine-readable output:

   invoctl --format json show INV-1001 | jq '.total'
   

Contents

• Why invoctl? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing

Why invoctl?

single-binary freelancer invoicing, zero SaaS

invoctl is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

Features

• ✅ Compute Totals
• ✅ Payment Link
• ✅ Render Text
• ✅ Render Pdf
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

pip install cognis-invoctl
invoctl --version
invoctl scan .                       # scan current project
invoctl scan . --format json         # machine-readable
invoctl scan . --fail-on high        # CI gate (non-zero exit)

Example

$ invoctl scan .
  [HIGH    ] INV-001  example finding             (./src/app.py)
  [MEDIUM  ] INV-002  another signal              (./config.yaml)

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  IN[addresses + transactions] --> P[invoctl<br/>cluster + trace]
  P --> OUT[sanctions xref / report]

Use it from any AI stack

invoctl is interoperable with every popular way of using AI:

• MCP server — invoctl mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
• OpenAI-compatible / JSON — pipe invoctl scan . --format json into any agent or LLM
• LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
• CI / scripts — exit codes + SARIF for non-AI pipelines

How it compares

	Cognis invoctl	InvoiceNinja
Self-hostable, no account	✅	varies
Single command, zero config	✅	⚠️
JSON + SARIF for CI	✅	varies
MCP-native (AI agents)	✅	❌
Polyglot ports (JS/Go/Rust)	✅	❌
Open license	✅ COCL	varies

Built in the spirit of InvoiceNinja, re-framed the Cognis way. Missing a credit? Open a PR.

Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (invoctl mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.

Install — every way, every platform

pip install "git+https://github.com/cognis-digital/invoctl.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/invoctl.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/invoctl.git" # uv
pip install cognis-invoctl                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/invoctl:latest --help        # Docker
brew install cognis-digital/tap/invoctl                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/invoctl/main/install.sh | sh

Linux	macOS	Windows	Docker	Cloud
scripts/setup-linux.sh	scripts/setup-macos.sh	scripts/setup-windows.ps1	docker run ghcr.io/cognis-digital/invoctl	DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

• churnlens — Self-hosted SaaS metrics — MRR, churn, LTV from Stripe or CSV
• leadforge — Lightweight MCP-native CRM pipeline with email sequences
• quotecraft — Proposal / quote / SOW generator — YAML to branded PDF
• boardroom — Investor-update and KPI one-pager generator from your metrics
• seataudit — SaaS license, seat-usage and shadow-IT auditor
• paywatch — Recurring-charge and subscription detector from bank/Plaid CSV

Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram

Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.

⭐ If invoctl saved you time, star it — it genuinely helps others find it.

Interoperability

{} composes with the 300+ tool Cognis suite — JSON in/out and a shared OpenAI-compatible /v1 backbone. See INTEROP.md for the suite map, composition patterns, and reference stacks.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license ([email protected]). See LICENSE.

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