PMOS

Product Manager Operating System. An MCP server that gives an agent product data, feedback, metrics, sandbox analysis, and gated Jira tickets — so it can investigate drops, write PRDs, and file work with evidence.

Implemented on OpenCode.

What you get

Tools

Tool	Purpose
get_product	Product, users, competitors (default: ShipIt)
list_features / get_feature	Roadmap features + feedback count
search_feedback / get_feedback_summary	Quotes, sentiment, themes
get_funnel_metrics	Onboarding conversion over time
get_feature_metrics	Feature series (e.g. completion, step-3 drop-off)
run_sandbox_analysis	Isolated pandas/Python (Docker; off in compose)
create_jira_ticket	Preview first; approved=True only after the user says yes

Resources: product://shipit · feature://{id} · metrics://onboarding

Prompts: generate_prd · analyze_feature · analyze_customer_feedback

Skills (.opencode/skills/): analyze feedback, feature analysis, write PRD, prioritize roadmap, create Jira tickets.

Demo data

Seeded product ShipIt — engineering PM SaaS vs Linear / Jira / Asana. Onboarding wizard is the leak: completion falling, Step 3 drop-off rising, mostly negative setup feedback.

Run

cp deployment/.env.example deployment/.env   # set PMOS_MCP_TOKEN
cd deployment && docker compose up --build

Health: GET http://localhost:8000/health · MCP: http://localhost:8000/mcp

Client:

{
  "mcpServers": {
    "pmos": {
      "url": "http://localhost:8000/mcp",
      "headers": { "Authorization": "Bearer <PMOS_MCP_TOKEN>" }
    }
  }
}

Optional Jira: JIRA_URL, JIRA_EMAIL, JIRA_API_TOKEN, JIRA_PROJECT in deployment/.env. Missing creds → local stub. Need a real Jira Software project (not Atlas).

cd mcp && python tests/run_tests.py

SQLite locally if PMOS_DATABASE_URL is unset; Postgres in Docker.