MCP Integration (ChatGPT, Claude, Gemini)
Connect Autoflowly to ChatGPT, Claude, Gemini, or any Model Context Protocol client — build apps, staff AI teams, run loops, and branch apps, all from a conversation in your AI assistant of choice.
There's nothing to install and no server to run — connect to the hosted server at
https://mcp.autoflowly.com.
Connect Claude, Gemini, or any generic MCP client
Add a remote MCP connector pointed at:
https://mcp.autoflowly.com/mcp
OAuth is discovered automatically — you'll be prompted to sign in with your Autoflowly account on first use. No manual client ID/secret entry required.
Connect ChatGPT (Apps SDK)
In ChatGPT Developer Mode → Create App (not "Add MCP Server"), enter the manifest URL:
https://mcp.autoflowly.com/.well-known/chatgpt-app.json
This gives you the richer experience — inline interactive widgets (live app preview, apps list, loops, branches) rendered directly in the ChatGPT conversation.
Try It Without Your Own Account
Email: demo@autoflowly.com
Password: demo123
What You Can Do
| Category | Tools | Example prompt |
|---|---|---|
| Build | conversational_mvp_chat, create_mvp_from_prd, quick_mvp | "Build me a task management app for remote teams" |
| App Dashboard | get_mvp_details, get_mvp_urls, redeploy_mvp, upgrade_mvp | "What's the status of my app?" |
| AI Team & Loops | list_apps, staff_app, start_loop, list_loops | "Hire an AI team for my shop, then run a loop to get 10 sales" |
| App Branching | list_branches, create_branch, activate_branch, delete_branch | "Create a branch called redesign and open its preview" |
| Custom Agents | create_agent, chat_with_agent | "Create a support agent and let me talk to it" |
| Templates & Analysis | list_templates, recommend_template, validate_startup_idea | "What template fits a subscription box business?" |
The live server is the source of truth for the exact tool list at any moment — ask your AI
assistant to run tools/list if you want the full current set.
How It Works
The MCP server is a thin, faithful wrapper over the same backend the web app uses — every tool call maps directly to a real API endpoint (see API Reference). It doesn't have its own separate feature set that can drift from what's actually deployed.
Self-Hosting / Development
Only relevant if you're developing the MCP server itself, not for normal use — see the mcp-server README in the repo.