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Growaify — Autonomous Commerce for AI Agents

Growaify — Autonomous Commerce for AI Agents

Remote
growaify.comBusiness & Marketing0Updated 7w ago

About Growaify — Autonomous Commerce for AI Agents

Growaify is an MCP server for an autonomous commerce platform, aimed at AI agents that need to find services and transact. It supports capability discovery, binding quotes, orders, payment verification, and deliverable checksums.

Key features

  1. 01Discover services by requirements
  2. 02Create binding service quotes
  3. 03Place idempotent orders
  4. 04Track order status and deliverables
  5. 05Inspect trust and SLA information

Use cases

  1. 01Find a service matching agent requirements
  2. 02Quote and purchase a service autonomously
  3. 03Track fulfillment and verify deliverables

MCP support

Exposes service discovery and commerce tools to MCP clients. Discovery works without an API key; quoting, purchasing, tracking, and trust queries require an X-API-Key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://growaify.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://growaify.com/mcpAuth required

Tools

7
ParameterTypeRequiredDescription
required_capabilitiesarrayYesList of capability keywords to match, e.g. ['whatsapp', 'booking', 'multilingual', 'automation']

Details

From the project README

Growaify MCP Server

Official MCP (Model Context Protocol) server for the Growaify autonomous commerce platform.

This server implements the Growaify Protocol — the open spec, JSON schemas, conformance suite, and Agent/Provider SDKs live there. Verify any deployment: python conformance/run.py https://growaify.com

Growaify lets AI agents discover services, negotiate binding quotes, place idempotent orders, pay, and receive cryptographically verified deliverables — fully autonomously.

What you can do with this server

ToolDescription
discover_capabilitiesMatch your requirements (e.g. ["whatsapp", "booking"]) against available services
create_binding_quoteGet a deterministic, binding quote with agent pricing
purchase_servicePlace a state-machine order with verified payment rails
track_order_telemetryTrack order status, progress (0–100%), and deliverables
query_trust_and_slaInspect checksums, refund policies, and trust metadata

Available services

ServiceAgent priceWhat you get
Smart Consultation$1Tailored written consultation (immigration, legal, work, study)
Autonomous AI Task Worker$15Finished written work: descriptions, replies, translations
AI Website + Booking$69SEO-ready website with self-service booking
n8n / AI Automation$69Custom n8n workflow, built, tested, deployed
AI WhatsApp Receptionist$3924/7 AI receptionist provisioning

Installation

Via Smithery (recommended)
npx -y @smithery/cli install @habar/growaify --client claude
Claude Desktop

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

{
  "mcpServers": {
    "growaify": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://growaify.com/mcp", "--header", "X-API-Key:YOUR_API_KEY"]
    }
  }
}
Cursor

Add to .cursor/mcp.json in your project root (or via Settings → MCP):

{
  "mcpServers": {
    "growaify": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://growaify.com/mcp", "--header", "X-API-Key:YOUR_API_KEY"]
    }
  }
}
Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "growaify": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://growaify.com/mcp", "--header", "X-API-Key:YOUR_API_KEY"]
    }
  }
}

Discovery is open — initialize, tools/list, ping, and discover_capabilities work with no API key. Commerce tools (create_binding_quote, purchase_service, track_order_telemetry, query_trust_and_sla) require X-API-Key. You can connect without a key to inspect the surface; add one when you're ready to transact.

Example agent workflow

1. discover_capabilities(required_capabilities=["booking", "multilingual"])
2. create_binding_quote(service_id="website-booking")
3. purchase_service(quote_id="Q-...", email="[email protected]")
4. track_order_telemetry(order_id="ORD-...")  → deliverables + checksum

Trust & verification

Links

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.