Paytm MCP Server enables AI agents and developers to securely access Paytm's Payments and Business Payments APIs via the Model Context Protocol (MCP). It allows smart, contextual automation across all payment workflows

• Smart Payment Ops: Automate routine payment workflows like refunds, settlement tracking, and transaction status checks using AI agents powered by Paytm MCP

• Context-Aware AI Assistants: Create intelligent tools that can fetch and explain transactions, initiate payouts, or manage payment links—all through simple natural language prompts

• Developer Productivity: Supercharge developer efficiency by enabling Paytm API calls (e.g. "Create a ₹500 payment link") directly via terminals, chat-based UIs, or AI IDE plugins

• Agentic AI Payments: Enable agentic AI payments, build enhanced bot led shopping experience through Paytm MCP server

• Python 3.12 or higher
• Paytm Merchant credentials: PAYTM_MID and PAYTM_KEY_SECRET
• uv (a fast Python package installer and runner)
• Claude Desktop (for running and managing the server)

1. Download the setup.sh script above for automated installation and configuration and follow the below steps:

2. Run the following in your terminal (Mac/Unix-based):

# Make the script executable
chmod +x setup.sh

# Run the setup script
./setup.sh

The script will:

1. Check for required dependencies (Python 3.12+, uv, Claude Desktop)
2. Clone or update the repository
3. Create and activate a virtual environment
4. Install all required dependencies
5. Create a .env file template for Paytm credentials

Note: On Windows, use Git Bash or WSL to run the script, or follow manual installation.

1. Clone the repository:

   git clone https://github.com/paytm/payment-mcp-server.git
   cd payment-mcp-server

2. Create and activate a virtual environment:

   uv venv
   source .venv/bin/activate

3. Install dependencies:

   uv pip install .

This server is designed to be launched and managed through Claude Desktop. You do not need to run the server manually from the command line.

Place this file in your project root or as required by Claude Desktop:

{
  "mcpServers": {
    "paytm-mcp-server": {
      "command": "uv path",
      "args": ["--directory", "path to project", "run", "paytm_mcp.py"],
      "env": {
        "PAYTM_MID": "****************",
        "PAYTM_KEY_SECRET": "************"
      }
    }
  }
}

1. On Mac:

   • Run which uv to get the command path
   • Run pwd to get the project path

2. On Windows:

   • Run where uv to get the command path
   • Run cd to get the project path

   Ensure the paytm_mcp.py file exists in the given path.

3. The env section should contain your actual Paytm credentials (Paytm MID and Paytm Key Secret)

1. Update the claude_desktop_config.json with your Paytm credentials
2. Restart the server using Claude Desktop
3. Begin interacting with Paytm APIs using your AI agents

This project is licensed under the MIT License - see the LICENSE file for details.

The MIT License is a permissive license that allows you to:

• Use the code commercially
• Modify the code
• Distribute the code
• Use the code privately
• Sublicense the code

The only requirement is that the license and copyright notice must be included in all copies or substantial portions of the software.

Need help? Raise an issue or explore the Paytm Documentation