okto-pulse 0.1.1

Okto Pulse — spec-driven project management with AI agents via MCP. Local-first, single command setup.

Okto Pulse

Spec-driven project management for AI-assisted development.

Okto Pulse guides your work from raw ideas to shipped code through a structured pipeline — Ideation → Refinement → Spec → Tasks — with 119+ MCP tools that let AI agents (Claude Code, Cursor, Windsurf, etc.) collaborate on your board.

pip install okto-pulse
okto-pulse init
okto-pulse serve

That's it. Open http://localhost:8100 and start building.

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Why Okto Pulse?

• Spec-driven — Every task traces back to a spec with acceptance criteria, test scenarios, and business rules
• AI-native — 119+ MCP tools let AI agents create cards, move tasks, ask questions, track bugs, and more
• Governance built-in — Quality gates enforce test coverage, business rules coverage, and task completion before specs can be finalized
• Local-first — SQLite database, no external services required, runs on a single machine
• Single command — okto-pulse serve starts the API, frontend, and MCP server

Quick Start

1. Install

pip install okto-pulse

Requires Python 3.11+.

2. Initialize

cd your-project
okto-pulse init

This creates:

• A default board and agent in ~/.okto-pulse/
• A .mcp.json file in the current directory with the MCP connection config

3. Start

okto-pulse serve

• Frontend + API: http://localhost:8100
• MCP server: http://localhost:8101

4. Connect your AI tool

The .mcp.json is auto-detected by most AI tools:

Tool	Setup
Claude Code	Auto-detects .mcp.json — just start Claude Code in the same directory
Claude Desktop	Copy the MCP config to Claude Desktop settings
Cursor	Add to Cursor preferences → MCP settings
VS Code	Copy to .vscode/mcp.json
Windsurf / Cline	Auto-detects .mcp.json

The generated .mcp.json:

{
  "mcpServers": {
    "okto-pulse": {
      "url": "http://localhost:8101/mcp?api_key=dash_..."
    }
  }
}

5. Start building

Open the Ideations tab and describe what you want to build. Your AI agent can now help you evaluate, refine, spec, and implement it — all tracked on the board.

CLI Commands

Command	Description
okto-pulse init	Initialize ~/.okto-pulse/, create DB, seed default board + agent, generate .mcp.json
okto-pulse serve	Start API + Frontend (port 8100) and MCP server (port 8101)
okto-pulse status	Show service status, DB path/size, board/card counts
okto-pulse reset [-y]	Delete all data and re-seed (with confirmation)

Custom ports

okto-pulse --api-port 9000 --mcp-port 9001 init
okto-pulse --api-port 9000 --mcp-port 9001 serve

The Pipeline

Ideation → Refinement → Spec → Tasks (Kanban)

Stage	What happens
Ideation	Capture the idea, evaluate complexity (small/medium/large)
Refinement	Deep analysis for medium/large ideas — scope, decisions, knowledge
Spec	Acceptance criteria, test scenarios, business rules, API contracts
Tasks	Kanban board with dependencies, bug tracking, conclusions

Governance rules (enforced automatically)

• Specs can't move to "done" without full test coverage
• Specs can't be finalized with pending tasks
• Tasks can't start without test scenario coverage
• Tasks require a conclusion when moved to "done"
• Bug cards enforce test-first workflow (new test scenario + test task before fixing)

Data Storage

All data lives in ~/.okto-pulse/:

~/.okto-pulse/
├── data/
│   └── pulse.db      # SQLite database
└── uploads/
    └── {board_id}/   # File attachments

From Source

git clone https://github.com/OktoLabsAI/okto-pulse.git
cd okto-pulse
pip install -e packages/core -e packages/community
okto-pulse init
okto-pulse serve

Ecosystem Edition

The Ecosystem edition adds multi-user collaboration, Clerk authentication, PostgreSQL, and portal integration. It's available for teams and organizations — contact Okto Labs for details.

License

Elastic License 2.0 — free for personal and commercial use. You may not provide this software to third parties as a hosted or managed service.

Copyright 2024-2026 Okto Labs