pip install cognis-quotecraft
quotecraft scan . # → prioritized findings in seconds-
Install the CLI (Python 3.9+):
pip install git+https://github.com/cognis-digital/quotecraft.git
-
Preview a YAML proposal as plain text before rendering:
quotecraft preview proposal.yaml
-
Render the proposal to a branded PDF quote / SOW:
quotecraft render proposal.yaml -o quote.pdf
-
Compute just the totals (e.g. to show numbers in JSON for another system):
quotecraft --format json total proposal.yaml
-
Automate quote generation in CI / a pipeline:
- name: build quote PDF run: | pip install git+https://github.com/cognis-digital/quotecraft.git quotecraft render proposal.yaml -o dist/quote.pdf
- Why quotecraft? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing
agencies + consultants
quotecraft 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.
- ✅ Parse Yaml
- ✅ Build Proposal
- ✅ Load Proposal
- ✅ Compute Totals
- ✅ Money
- ✅ Render Text
- ✅ Render Pdf
- ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
- ✅ Ports in Python, JavaScript, Go, and Rust (
ports/)
pip install cognis-quotecraft
quotecraft --version
quotecraft scan . # scan current project
quotecraft scan . --format json # machine-readable
quotecraft scan . --fail-on high # CI gate (non-zero exit)$ quotecraft scan .
[HIGH ] QUO-001 example finding (./src/app.py)
[MEDIUM ] QUO-002 another signal (./config.yaml)
2 findings · risk score 5 · 38ms
flowchart LR
IN[input] --> P[quotecraft<br/>analyze + score]
P --> OUT[report]
quotecraft is interoperable with every popular way of using AI:
- MCP server —
quotecraft mcp(Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet) - OpenAI-compatible / JSON — pipe
quotecraft 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 quotecraft | PandaDoc | |
|---|---|---|
| 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 PandaDoc, 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 (quotecraft mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.
pip install "git+https://github.com/cognis-digital/quotecraft.git" # pip (works today)
pipx install "git+https://github.com/cognis-digital/quotecraft.git" # isolated CLI
uv tool install "git+https://github.com/cognis-digital/quotecraft.git" # uv
pip install cognis-quotecraft # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/quotecraft:latest --help # Docker
brew install cognis-digital/tap/quotecraft # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/quotecraft/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/quotecraft |
DEPLOY.md (AWS/Azure/GCP/k8s) |
invoctl— CLI invoicing + payment-link generator with PDF and a local ledgerchurnlens— Self-hosted SaaS metrics — MRR, churn, LTV from Stripe or CSVleadforge— Lightweight MCP-native CRM pipeline with email sequencesboardroom— 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 (licensing@cognis.digital). See LICENSE.