Mop Flow
FreeNot checkedMOP Flow — portable agent memory core, workflow engine, and provider bridge for Claude, Codex, Gemini, and Antigravity.
About
MOP Flow — portable agent memory core, workflow engine, and provider bridge for Claude, Codex, Gemini, and Antigravity.
README
MOP Flow
MOP portable AI MemoryCore for Claude, Codex / ChatGPT, Gemini, and Antigravity.
English | Bahasa Melayu
What Is MOP Flow?
MOP Flow is a portable MOP (Memory of Planet) core for AI coding workspaces. It gives every supported AI provider the same project memory, agent rules, workflow gates, artifact folders, autosycn flow, and deployment setup.
The goal is simple: install once, then Claude, Codex / ChatGPT, Gemini, and Antigravity can enter the same project with the same source of truth.
MOP Flow
MOP Flow is the provider-neutral orchestration and skill bridge for MOP. It keeps the MOP brand and rules above upstream Ruflo / Claude Flow runtime compatibility, so Claude, Codex, Gemini, and Antigravity can see the same skill inventory and MCP runtime surface.
npx mop-flow
The active improvement roadmap lives in .MOP/flow/ROADMAP.md.
Install
Run this inside your terminal to launch the interactive Dashboard:
npx mop-flow
The interactive TUI will allow you to Install, Update, Delete, or check the Status of MOP Flow in your project directly without needing to remember complex commands.
After install, open your AI coding chat in that project and run:
/mop-setup
What Gets Installed
| Path | Purpose |
|---|---|
.MOP/ |
MOP state, protocol, scripts, workflow config, and artifact templates. |
AGENTS.md |
Provider-neutral instructions for Codex / ChatGPT coding agents. |
CLAUDE.md |
Claude Code entrypoint and behavior rules. |
GEMINI.md |
Gemini CLI entrypoint. |
.agents/ |
Antigravity-compatible agents and skills. |
.codex/, .gemini/, .claude/ |
Provider-specific config and skill surfaces. |
Core Features
| Feature | What it does |
|---|---|
| Auth Gate | First action is always setup/login. No work starts before the gate passes. |
| Agent Router | 32 specialized agents available via .MOP/STATE.json. Picks one primary agent and adds support agents only when useful. |
| Party Mode | Shows visible agent-to-agent discussion for multi-role decisions. |
| MOP Flow | Provider-neutral skill bridge and MCP runtime wrapper across Claude, Codex, Gemini, and Antigravity. |
| Brain Link Service | Links projects to MOP Agent, registers them locally, and keeps relays alive in the background. |
| MOP Workflow | BMAD-inspired 10-phase flow from idea to release with readiness gates. |
| Artifacts | Keeps plans, specs, reviews, and release notes under .MOP/artifacts/. |
| Autosync | Commits and pushes as the real user, not as the AI tool identity. |
| Auto Deploy | Optional setup path for GitHub, Docker, and Vercel. |
First Session Flow
1. AI reads .MOP/STATE.json
2. If not initialized, AI asks you to run /mop-setup
3. Setup asks for project name, owner, codename, password, mode, language, and GitHub info
4. After login, every task goes through the Agent Router
5. Complex tasks use MOP Workflow and readiness gates before coding
Useful Commands
npx mop-flow
Local project helpers:
node .MOP/scripts/mop-core.mjs status
node .MOP/scripts/mop-core.mjs validate
node .MOP/scripts/mop-flow.mjs status
node .MOP/scripts/mop-flow.mjs link <https://agent/v1/api/link/key>
node .MOP/scripts/mop-flow.mjs service install --start
node .MOP/scripts/mop-flow.mjs service list
node .MOP/scripts/mop-workflow.mjs help --actor <codename> --task "<task>"
node .MOP/scripts/mop-autosycn.mjs run --actor <codename> --reason "<what changed>"
node .MOP/scripts/mop-mcp.mjs start # Native Model Context Protocol (MCP) server
Background Brain Relay
mop-flow link saves the private link token in .MOP/link.json and registers
the project in a per-user service registry on that PC. Run this once per PC to
start all registered project relays automatically when Windows starts or when a
Linux user session starts:
npx mop-flow service install --start
After that, every project you link from the same PC is picked up by the service.
Use npx mop-flow service list to see registered projects. The service registry
does not store link tokens; each project keeps its own gitignored
.MOP/link.json.
npx mop-flow also includes a compact Control Center menu: Install, Update,
Doctor, Status, Link, Delete, Skills, and Exit. The Link menu action is
all-in-one: paste the Brain URL, link the project, then install/start the
background relay service automatically.
Team Workflow
In team mode, work is pushed to a user branch first:
dev/<codename> -> BURHAN-MOP review -> main
BURHAN-MOP acts as the merge guardian. It checks the branch, validates state, and merges only when the workflow is safe.
Release
| Item | Value |
|---|---|
| npm package | mop-flow |
| latest command | npx mop-flow install |
| legacy alias | npx burhan-mop install |
| GitHub release | v1.4.4 |
| Node | >=20 |
Links
- npm: https://www.npmjs.com/package/mop-flow
- GitHub: https://github.com/BURHANDEV-ENTERPRISE/mop-flow
- Bahasa Melayu README: README.bm.md
Install Mop Flow in Claude Desktop, Claude Code & Cursor
unyly install mop-flowInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add mop-flow -- npx -y mop-flowFAQ
Is Mop Flow MCP free?
Yes, Mop Flow MCP is free — one-click install via Unyly at no cost.
Does Mop Flow need an API key?
No, Mop Flow runs without API keys or environment variables.
Is Mop Flow hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Mop Flow in Claude Desktop, Claude Code or Cursor?
Open Mop Flow on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Mop Flow with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
