Meetingcost

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

🔎 Example output

Real, reproducible output from the tool — runs offline:

$ meetingcost-emit --version
meetingcost 0.1.0

$ meetingcost-emit --help
usage: meetingcost [-h] [--version] {cost} ...

Compute the dollar cost of meetings from a calendar (.ics).

positional arguments:
  {cost}
    cost      Compute meeting costs from an .ics file (use - for stdin).

options:
  -h, --help  show this help message and exit
  --version   show program's version number and exit

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

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

{
"meetingcost": {
"finding": [
{
"id": "123456",
"name": "Suspicious Network Traffic",
"description": "Unknown traffic from 192.168.1.100 to 8.8.8.8",
"severity": "medium"
},
{
"id": "789012",
"name": "Unusual File Access",
"description": "User 'johndoe' accessed file '/home/johndoe/topsecret.txt'",
"severity": "high"
}
]
}
}

Usage — step by step

1. Install the CLI (Python 3.9+):

   pip install cognis-meetingcost
   

2. Cost a calendar. Point cost at an .ics export (or - for stdin). Tune the loaded labor rate with --salary and --overhead, or set --hourly-rate directly:

   meetingcost cost team-week.ics --salary 120000 --overhead 1.4
   

3. Get machine-readable output for dashboards or further processing with --format json:

   meetingcost cost team-week.ics --format json | jq '.total_cost'
   

4. Read the result. The table prints a per-meeting cost breakdown plus TOTAL COST, total hours, and person-hours; JSON carries the same fields (total_cost, meeting_count, total_person_hours, per-meeting cost).

5. Automate in CI / a pipe. Stream a calendar straight in and extract the headline number:

   cat team-week.ics | meetingcost cost - --format json | jq '.total_cost'
   

Contents

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

Why meetingcost?

viral office utility

meetingcost 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

• ✅ Blended Hourly Rate
• ✅ Parse Ics
• ✅ Compute Costs
• ✅ Summarize
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

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

Example

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

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  IN[capture / scan] --> P[meetingcost<br/>parse + map]
  P --> OUT[report]

Use it from any AI stack

meetingcost is interoperable with every popular way of using AI:

• MCP server — meetingcost mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
• OpenAI-compatible / JSON — pipe meetingcost 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 meetingcost	Shopify meeting cost calc
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 Shopify meeting cost calc, 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 (meetingcost 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/meetingcost.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/meetingcost.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/meetingcost.git" # uv
pip install cognis-meetingcost                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/meetingcost:latest --help        # Docker
brew install cognis-digital/tap/meetingcost                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/meetingcost/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/meetingcost	DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

• invoctl — CLI invoicing + payment-link generator with PDF and a local ledger
• 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

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 meetingcost 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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