Business Operations — run the company without a SaaS bill for every function.
pip install cognis-invoctl
invoctl scan . # → prioritized findings in secondsReal, 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
invoctloutput — 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"
}
]
}
-
Install:
pip install invoctl
-
Create an invoice — line items are
Description:qty:unit_price, repeat--itemper 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). -
Inspect the ledger — list, show, or summarize:
invoctl list invoctl show INV-1001 invoctl summary # outstanding vs collected -
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
-
Automation — drive it from scripts with machine-readable output:
invoctl --format json show INV-1001 | jq '.total'
- Why invoctl? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing
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.
- ✅ Compute Totals
- ✅ Payment Link
- ✅ Render Text
- ✅ Render Pdf
- ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
- ✅ Ports in Python, JavaScript, Go, and Rust (
ports/)
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)$ invoctl scan .
[HIGH ] INV-001 example finding (./src/app.py)
[MEDIUM ] INV-002 another signal (./config.yaml)
2 findings · risk score 5 · 38ms
flowchart LR
IN[addresses + transactions] --> P[invoctl<br/>cluster + trace]
P --> OUT[sanctions xref / report]
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 jsoninto 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
| 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.
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.
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) |
churnlens— Self-hosted SaaS metrics — MRR, churn, LTV from Stripe or CSVleadforge— Lightweight MCP-native CRM pipeline with email sequencesquotecraft— Proposal / quote / SOW generator — YAML to branded PDFboardroom— Investor-update and KPI one-pager generator from your metricsseataudit— SaaS license, seat-usage and shadow-IT auditorpaywatch— Recurring-charge and subscription detector from bank/Plaid CSV
Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram
PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.
{} 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.
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.