Tunzaa MCP Server

Tunzaa MCP Server

Enables AI agents to integrate Tunzaa Payments by generating accurate boilerplate code and webhook handlers. Operates in mock mode by default with optional live verification against Tunzaa APIs when credentials are provided.

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Tunzaa MCP Server

Grounding for AI-Driven Payment Integrations

The Tunzaa MCP Server is a developer-centric tool built for the community. It provides high-fidelity grounding data, integrated documentation, and "Golden" code patterns that allow AI agents (vibe coders) to generate perfect, non-hallucinated integration code for the Tunzaa ecosystem.

🚀 Instant Start (Fastest Way)

You can run the server directly from GitHub without cloning or installing dependencies.

1. Claude Desktop

Add this to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "tunzaa": {
      "command": "npx",
      "args": ["-y", "github:Tunzaa/tunzaa_mcp"]
    }
  }
}

2. Cursor

  1. Go to Settings -> Features -> MCP.
  2. Click + Add New MCP Server.
  3. Name: Tunzaa | Type: command | Value: npx -y github:Tunzaa/tunzaa_mcp

3. Windsurf

Add this to your ~/.codeium/config.json:

{
  "mcpServers": {
    "tunzaa": {
      "command": "npx",
      "args": ["-y", "github:Tunzaa/tunzaa_mcp"]
    }
  }
}

🧭 The Vibe Coding Workflow

This server is designed to help you build Tunzaa integrations in minutes. Follow this flow with your AI assistant:

  1. Grounding: Add this MCP server to your project.
  2. Exploration: Ask the AI: "List the Tunzaa resources and read the authentication guide."
  3. Simulation: Run the tool: create_demo_shop to see a live trace of a successful integration.
  4. Generation: Ask the AI: "Based on the grounding trace and the node-express example, build a checkout page for my app."

🏪 The Grounding "Demo Shop"

The create_demo_shop tool is the cornerstone of this platform. It doesn't just return data; it provides a Live Grounding Trace.

How to use it:

  1. Trigger the Simulation: Tell your AI agent: "Run the Tunzaa create_demo_shop tool to understand the payment flow."
  2. Review the Trace: The agent will receive a chronological sequence of calls including Authentication, Payment Initiation, and Installment creation.
  3. Production Implementation: Each step in the trace contains "Grounding Insights" that teach the agent how to handle state, headers, and reference IDs in your actual code.
  4. Boilerplate: Ask the agent to "Convert the grounding trace into a [Node/Python/PHP] implementation using the best practices found in the documentation resources."

✨ Features

  • Integrated Documentation: AI agents can "read" guides on Auth, Payments, and Webhooks directly through MCP Resources.
  • Golden Patterns: Embedded code snippets for Express.js, React Hooks, and more.
  • Vibe Coder Optimized: Rich schema descriptions and instructional traces (via create_demo_shop) ensure zero hallucination.
  • Mock Mode by Default: Generates "Golden" mock data matching the real Tunzaa API structure.
  • Live Mode (Optional): Real-time verification against the Tunzaa Sandbox/Production.

🛠️ Usage (Live Mode)

To have the AI verify real data from your Tunzaa account (e.g., checking transaction statuses), add your credentials to the env block in your config:

"env": {
  "TUNZAA_API_KEY": "your_api_key",
  "TUNZAA_SECRET_KEY": "your_secret_key",
  "TUNZAA_ENVIRONMENT": "sandbox"
}

🏗️ Local Development

If you'd like to contribute or modify the server:

  1. git clone https://github.com/Tunzaa/tunzaa_mcp.git
  2. cd tunzaa_mcp && pnpm install && pnpm run build
  3. Use the local path in your config: "args": ["/ABSOLUTE/PATH/TO/tunzaa_mcp/dist/index.js"]

License

ISC

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