Agiflow

Official AgiFlow plugin for AI clients. Drive AgiFlow project management, including planning, grooming, execution, and review, directly from your AI tool.

Works withChatGPT,Claude Code,Codex,Cursor,Antigravity, andGemini CLI.

This repo is a self-contained, multi-client plugin bundle. Until it is published to each client's marketplace, load it as a local plugin directory.

git clone <your-remote>/agiflow-ai-plugin claude --plugin-dir ./agiflow-ai-plugin

The bundled.mcp.jsonwires the AgiFlow MCP server automatically. Use/mcpinside Claude Code to check the connection.

Place the plugin folder in one of Antigravity's plugin locations, then restart:

# Workspace-level (this project only) mkdir -p .agents/plugins && cp -R /path/to/agiflow-ai-plugin .agents/plugins/ # Global (all workspaces) mkdir -p ~/.gemini/config/plugins && cp -R /path/to/agiflow-ai-plugin ~/.gemini/config/plugins/

Antigravity reads the rootplugin.jsonmarker, theskills/, andmcp_config.jsonautomatically.

Add manually inCursor Settings → MCP / Plugins, pointing at this folder. Cursor's stable surface is MCP config. The bundled.mcp.jsonprovides it.

Add the AgiFlow plugin marketplace, then install the plugin from that marketplace:

codex plugin marketplace add AgiFlow/ai-plugin codex plugin add agiflow-ai-plugin@agiflow

For local development, point Codex at this checkout as a marketplace root:

codex plugin marketplace add ./agiflow-ai-plugin codex plugin add agiflow-ai-plugin@agiflow

gemini extensions install <your-remote>/agiflow-ai-plugin

The bundledgemini-extension.jsonconnects the AgiFlow MCP server viamcp-remote.

OpenAI Platform plugins are submitted from the production AgiFlow MCP server. This public repository provides the reusable Agent Skills used by that plugin, but does not contain Platform dashboard IDs, submission evidence, reviewer credentials, or other private operational data.

- getting-started
- project-plan
- refine-task
- backlog-grooming
- daily-standup
- triage

The coding-agent workflowsorchestrate,run-task,run-work, andreview-workremain available to coding clients but are not part of the ChatGPT submission bundle.

git clone <your-remote>/agiflow-ai-plugin claude --plugin-dir ./agiflow-ai-plugin

- Add new workflow instructions underskills/<name>/SKILL.md.
- Keep shared guidance inreferences/(e.g.references/agiflow-agents.md).
- Seereferences/plugin-types.mdfor per-client manifest notes.

This plugin connects to the AgiFlow MCP server (https://agiflow.io/api/v1/mcp) and exposes AgiFlow tools across these categories:

- Projects: create, inspect, and update projects and their statuses
- Tasks: create, list, get, update, reorder, and batch-create tasks
- Work units: group tasks into deliverable features or epics and track progress
- Workflows: acquire and release locks and coordinate multi-agent runs
- Members: list and assign agent members to work
- Comments: document decisions and progress on tasks
- Vault: read and set scoped configuration entries

The plugin ships 10 workflow skills that mirror AgiFlow's scrum pipeline. Your AI client loads them on demand when your request matches their description. You generally do not invoke them by name:

Shared guidelines (status model, transitions, tags, work-unit sizing) live inreferences/agiflow-agents.md.

> Plan a feature: add per-user notification preferences > Groom the backlog and promote the ready tasks to Todo > Run task DXX-2 > Execute the checkout work unit end-to-end > Review the auth work unit against its acceptance criteria > Give me a daily standup for this project > Why is this project stuck? > What should an agent pick up next?

export AGIFLOW_AI_PLUGIN_MCP_URL="https://mcp.your-agiflow-instance.com/api/v1/mcp"

- AgiFlow:https://agiflow.io
- Plugin client compatibility:references/plugin-types.md

An MCP server for integrating with the Claude Desktop application on macOS. Requires the Claude Desktop app to be installed and configured.