Agiflow — Project Management for AI Agents

# Agiflow Documentation > Give your AI agents project context — connect Claude Code, Cursor, or ChatGPT via MCP ## Introduction ### Welcome to Agiflow Agiflow bridges the gap between high-level project intent and autonomous AI execution. Connect your AI coding tools via MCP so agents get project plans, tasks, and acceptance criteria — no re-explaining every session. Includes the open-source AI Code Toolkit (MCP servers for scaffolding, architecture, and progressive discovery) and the Agiflow Platform for managing projects, work units, and tasks. URL: https://agiflow.ai/docs Keywords: introduction, overview, ai agents, agiflow, MCP, project context, AI Code Toolkit, command layer ## Getting Started ### Quickstart Guide Sign up, create a project, and connect your AI tool — all free, no credit card required. Add one MCP URL to your AI tool config, authorize via OAuth, and verify by asking your agent to list your projects. Full setup in under 5 minutes. URL: https://agiflow.ai/docs/getting-started Keywords: setup, quickstart, tutorial, guide, MCP integration, Claude Code, Cursor, ChatGPT, OAuth, API key ## Connecting AI Tools ### Unified MCP Connection Connect Claude Code, Cursor, or ChatGPT to Agiflow via a single MCP URL. Choose from 4 scope levels (Organization, Project, Work Unit, Task) for precise access control. Authenticate via OAuth (recommended for interactive tools) or API key (for CI/CD and scripts). Progressive discovery keeps initial token usage low — agents start with 3 meta-tools and discover capabilities on demand. URL: https://agiflow.ai/docs/connecting-ai-tools Keywords: MCP integration, Claude Code, Cursor, ChatGPT, OAuth, API key, progressive disclosure, scoped MCP, organization scope, project scope, work unit scope, task scope ## Features ### Workflows From plan to ship — your AI agent workflow. Plan projects, refine tasks, groom backlogs, execute work units, and triage completed work. MCP skills (prompts) guide each phase: