🏦 MCP Midtrans Documentation Server

🏦 MCP Midtrans Documentation Server

A comprehensive Model Context Protocol (MCP) server that gives AI agents complete knowledge of the Midtrans payment gateway — APIs, payment methods, integration guides, code examples, and best practices.

Table of Contents

• Overview
• Architecture
• How It Works
• Available MCP Tools
• Getting Started
  • Prerequisites
  • Installation
  • Running with uvx
  • Running with Docker
  • Running with pip
• Editor & Agent Setup
  • VS Code + GitHub Copilot
  • Claude Code (CLI)
  • Claude Desktop
  • Cursor
• Development Guide
  • Project Structure
  • Local Development
  • Adding New Tools
  • Adding Documentation Content
  • Testing
• Production Deployment
  • Docker Production Build
  • Publishing to PyPI
  • CI/CD
• Coverage & Content
• Diagrams
• License

Overview

MCP Midtrans is an MCP server that embeds the entire Midtrans payment gateway documentation as structured, searchable tools. When connected to an AI agent (Copilot, Claude, Cursor, etc.), the agent can:

• Look up any Midtrans API endpoint, request format, or response schema
• Get complete integration code for 15+ payment methods in 5 programming languages (Python, Django, Node.js, Go, PHP)
• Generate ready-to-use charge request JSON for any payment type
• Get webhook/notification handler code with signature verification
• Search across all documentation to find exactly what's needed

No API keys required — this server provides documentation only; it does not call the Midtrans API.

Architecture

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graph TB
    subgraph CLIENT["🖥️ AI Client"]
        style CLIENT fill:#1a1a2e,stroke:#6c63ff,stroke-width:2px,color:#e0e0e0
        VSCODE["VS Code + Copilot"]
        CLAUDE_CODE["Claude Code"]
        CLAUDE_DESKTOP["Claude Desktop"]
        CURSOR["Cursor"]
    end

    subgraph MCP_SERVER["⚡ MCP Midtrans Server"]
        style MCP_SERVER fill:#0f3460,stroke:#6c63ff,stroke-width:2px,color:#e0e0e0
        FASTMCP["FastMCP Runtime<br/>(stdio transport)"]

        subgraph TOOLS["🔧 MCP Tools (10)"]
            style TOOLS fill:#16213e,stroke:#00d2ff,stroke-width:1px,color:#e0e0e0
            T1["get_documentation_map"]
            T2["get_documentation"]
            T3["get_payment_method_guide"]
            T4["get_json_object_schema"]
            T5["get_status_codes"]
            T6["get_code_example"]
            T7["search_documentation"]
            T8["get_charge_example"]
            T9["get_notification_handler"]
            T10["get_snap_integration"]
        end

        subgraph KB["📚 Knowledge Base"]
            style KB fill:#16213e,stroke:#ff6b6b,stroke-width:1px,color:#e0e0e0
            D1["API Reference"]
            D2["Payment Methods 15+"]
            D3["Code Examples 5 langs"]
            D4["JSON Schemas 14"]
            D5["Webhook Guides"]
            D6["Status Codes"]
        end
    end

    VSCODE -->|"stdio"| FASTMCP
    CLAUDE_CODE -->|"stdio"| FASTMCP
    CLAUDE_DESKTOP -->|"stdio"| FASTMCP
    CURSOR -->|"stdio"| FASTMCP
    FASTMCP --> TOOLS
    TOOLS --> KB

How It Works

%%{init: {'theme': 'dark', 'themeVariables': {'primaryColor': '#1a1a2e', 'primaryTextColor': '#e0e0e0', 'primaryBorderColor': '#6c63ff', 'lineColor': '#00d2ff', 'secondaryColor': '#16213e', 'tertiaryColor': '#0f3460', 'fontSize': '14px'}}}%%
sequenceDiagram
    box rgb(26,26,46) AI Client
        participant User
        participant Agent as AI Agent
    end
    box rgb(15,52,96) MCP Server
        participant MCP as FastMCP Server
        participant Tool as MCP Tool
        participant KB as Knowledge Base
    end

    User->>Agent: "How do I integrate GoPay in Django?"
    Agent->>MCP: tools/call midtrans_get_payment_method_guide<br/>payment_method = gopay
    MCP->>Tool: Route to handler
    Tool->>KB: PAYMENT_METHOD_DETAILS gopay
    KB-->>Tool: Complete GoPay guide
    Tool-->>MCP: Formatted response
    MCP-->>Agent: GoPay charge example, response format, flow
    Agent->>MCP: tools/call midtrans_get_code_example<br/>language = django
    MCP->>Tool: Route to handler
    Tool->>KB: IMPLEMENTATION_EXAMPLES django
    KB-->>Tool: Django integration code
    Tool-->>MCP: Models, views, service layer, DRF code
    MCP-->>Agent: Complete Django implementation
    Agent-->>User: Here is how to integrate GoPay in Django...

1. You ask your AI agent to integrate Midtrans into your app.
2. The agent calls MCP tools to retrieve relevant documentation.
3. MCP server returns structured Midtrans documentation, code examples, and schemas.
4. The agent generates accurate integration code based on official docs.

Available MCP Tools

Getting Started

Prerequisites

• Python 3.11+
• One of: uv (recommended), Docker, or pip

Installation

git clone https://github.com/your-org/mcp-midtrans.git
cd mcp-midtrans

Running with uvx

The fastest way — no install needed:

# Run directly from PyPI
uvx mcp-midtrans

Or install as a global tool:

uv tool install mcp-midtrans
mcp-midtrans

Running with Docker

# Build the image
docker build -t mcp-midtrans .

# Run with stdio transport
docker run -i --rm mcp-midtrans

Or with Docker Compose:

docker compose up --build

Running with pip

pip install mcp-midtrans
mcp-midtrans

Editor & Agent Setup

VS Code + GitHub Copilot

Create or update .vscode/mcp.json in your workspace root:

Using uvx (recommended):

{
  "servers": {
    "midtrans": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-midtrans"]
    }
  }
}

Using Docker:

{
  "servers": {
    "midtrans": {
      "type": "stdio",
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp-midtrans"]
    }
  }
}

How to use:

1. Open VS Code with the workspace containing .vscode/mcp.json.
2. Open Copilot Chat (Ctrl+Shift+I / Cmd+Shift+I).
3. Switch to Agent mode (not Chat or Edit mode).
4. The MCP tools appear automatically — ask about Midtrans and Copilot calls the tools.
5. Example prompts:
   • "Help me integrate GoPay payment in my Django app"
   • "Show me how to handle Midtrans webhooks in Express"
   • "What's the charge request format for BCA Virtual Account?"

Claude Code (CLI)

Add to your project's .mcp.json (project root) or ~/.claude/mcp.json (global):

Using uvx:

{
  "mcpServers": {
    "midtrans": {
      "command": "uvx",
      "args": ["mcp-midtrans"]
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "midtrans": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp-midtrans"]
    }
  }
}

How to use:

1. Start Claude Code: claude
2. The MCP server connects automatically on startup.
3. Verify with: /mcp — you should see midtrans listed with 10 tools.
4. Ask about Midtrans — Claude will use the tools automatically:
   • "Integrate Midtrans Snap checkout into my FastAPI app"
   • "Generate a BNI VA charge request with customer details"
   • "How do I verify Midtrans webhook signatures in Go?"

Claude Desktop

Edit the config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "midtrans": {
      "command": "uvx",
      "args": ["mcp-midtrans"]
    }
  }
}

Restart Claude Desktop after saving. The 🔧 icon should show the Midtrans tools.

Cursor

Create .cursor/mcp.json in your workspace root:

{
  "mcpServers": {
    "midtrans": {
      "command": "uvx",
      "args": ["mcp-midtrans"]
    }
  }
}

Open Cursor Settings → Features → MCP to verify the server is active.

Development Guide

Project Structure

mcp-midtrans/
├── src/
│   └── mcp_midtrans/
│       ├── __init__.py               # Package version
│       ├── server.py                 # MCP server, tool definitions, input models
│       ├── knowledge_base.py         # All Midtrans documentation (~3500 lines)
│       └── tools/
│           └── __init__.py
├── docs/
│   └── DIAGRAMS.md                   # Mermaid architecture & workflow diagrams
├── pyproject.toml                    # Build config, dependencies, entry point
├── Dockerfile                        # Docker image (Python 3.12 + uv)
├── docker-compose.yml                # Docker Compose config
├── .vscode/
│   └── mcp.json                      # VS Code MCP config (local dev)
├── .gitignore
└── README.md                         # This file

Key Files

Local Development

# Clone and set up
git clone https://github.com/your-org/mcp-midtrans.git
cd mcp-midtrans

# Create virtual environment with uv
uv venv
source .venv/bin/activate

# Install in editable mode
uv pip install -e .

# Run the server
mcp-midtrans

# Test with MCP Inspector (interactive tool testing)
npx @modelcontextprotocol/inspector mcp-midtrans

MCP Inspector opens a web UI where you can:

• See all registered tools and their input schemas
• Send test requests with custom parameters
• View formatted responses in real-time

Adding New Tools

1. Define input model in server.py:

class GetMyNewGuideInput(BaseModel):
    model_config = ConfigDict(str_strip_whitespace=True, extra="forbid")
    topic: str = Field(..., description="The topic to look up")

2. Add documentation to knowledge_base.py:

MY_NEW_GUIDE = """
# My New Documentation Section
...
"""

3. Register the tool in server.py:

@mcp.tool(
    name="midtrans_get_my_new_guide",
    annotations={"readOnlyHint": True, "destructiveHint": False, "idempotentHint": True},
)
async def midtrans_get_my_new_guide(params: GetMyNewGuideInput) -> str:
    """Description of what this tool returns."""
    return MY_NEW_GUIDE

4. Import the new constant in the server's import block.

Adding Documentation Content

All documentation lives in knowledge_base.py as Python string constants and dicts:

To add content, append to the relevant constant or add a new entry to the dict.

Testing

# Syntax check
python -m py_compile src/mcp_midtrans/server.py
python -m py_compile src/mcp_midtrans/knowledge_base.py

# Verify tools register correctly
python -c "
from mcp_midtrans.server import mcp
tools = [t.name for t in mcp._tool_manager._tools.values()]
print(f'{len(tools)} tools registered:')
for t in tools:
    print(f'  - {t}')
"

# Verify languages
python -c "
from mcp_midtrans.knowledge_base import IMPLEMENTATION_EXAMPLES
print('Languages:', list(IMPLEMENTATION_EXAMPLES.keys()))
"

# Interactive testing
npx @modelcontextprotocol/inspector mcp-midtrans

Production Deployment

Docker Production Build

# Build with tag
docker build -t mcp-midtrans:latest .

# Tag for registry
docker tag mcp-midtrans:latest ghcr.io/your-org/mcp-midtrans:latest

# Push to container registry
docker push ghcr.io/your-org/mcp-midtrans:latest

Then users configure their MCP clients with Docker:

{
  "mcpServers": {
    "midtrans": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "ghcr.io/your-org/mcp-midtrans:latest"]
    }
  }
}

Publishing to PyPI

# Build distribution
uv build

# Upload to PyPI
uv publish
# or: twine upload dist/*

After publishing, users can run directly without cloning:

uvx mcp-midtrans

CI/CD

Example GitHub Actions workflow (.github/workflows/ci.yml):

name: Build & Test

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: astral-sh/setup-uv@v4
      - run: uv venv && source .venv/bin/activate && uv pip install -e .
      - run: |
          source .venv/bin/activate
          python -m py_compile src/mcp_midtrans/server.py
          python -m py_compile src/mcp_midtrans/knowledge_base.py
          python -c "from mcp_midtrans.server import mcp; assert len(list(mcp._tool_manager._tools)) == 10"

  docker:
    runs-on: ubuntu-latest
    needs: test
    steps:
      - uses: actions/checkout@v4
      - run: docker build -t mcp-midtrans .

Coverage & Content

Documentation Topics (15)

Payment Methods (15)

Credit Card · GoPay · QRIS · ShopeePay · OVO · BCA VA · BNI VA · BRI VA · Permata VA · CIMB VA · Mandiri Bill · Indomaret · Alfamart · Akulaku · Kredivo

Code Examples (5 Languages)

JSON Object Schemas (14)

transaction_details · customer_details · item_details · seller_details · custom_expiry · credit_card · gopay · shopeepay · bank_transfer · echannel · qris · ovo · convenience_store · action

Diagrams

Full architecture and workflow diagrams with dark theme styling are in docs/DIAGRAMS.md:

1. System Architecture — How AI clients connect to the MCP server
2. Tool Request Flow — Sequence diagram of a typical interaction
3. Payment Integration Flow — What the MCP teaches about Midtrans Snap integration
4. Knowledge Base Structure — Mind map of all documentation content
5. Deployment Options — Docker and uvx deployment flows
6. Tool Coverage Map — How the 10 tools map to documentation areas

License

MIT