Monzo MCP Server Integration

What does “Monzo” MCP Server do?

The Monzo MCP Server is a Model Context Protocol (MCP) server designed to provide secure access to your Monzo Bank banking data for personal use. By acting as a bridge between AI assistants (such as Claude or other LLM-powered tools) and your Monzo account, it enables automated workflows that can fetch financial data, analyze transactions, and facilitate personal finance management. This server allows AI agents to interact with your banking information in a controlled way, supporting use cases such as transaction summaries, balance inquiries, and financial insights, all while integrating seamlessly into development and productivity tools via MCP. Its primary value is in enhancing the developer workflow with real-time, programmable access to banking data through standardized protocols.

List of Prompts

No prompt templates are mentioned in the repository or documentation.

List of Resources

No explicit resources are listed in the documentation or codebase.

List of Tools

No specific tools are described or found in the documentation or server.py (or equivalent main files).

Use Cases of this MCP Server

• Personal Banking Automation: Allow AI assistants to access and summarize personal Monzo banking data, enabling quick overviews of spending habits and balances.
• Financial Insights & Reporting: Generate automated reports or insights on recent transactions, recurring payments, and savings trends using conversational interfaces.
• Expense Tracking: Use the MCP server to track expenses, categorize transactions, and provide notifications or alerts for unusual account activity.
• Integration with Productivity Tools: Connect Monzo banking data with productivity flows (e.g., in Claude, Cursor, or other MCP-compatible platforms) for seamless financial management alongside task tracking.
• Custom Banking Workflows: Enable developers to create custom workflows that interact programmatically with Monzo accounts for niche automation needs.

How to set it up

Windsurf

1. Ensure that Node.js and Python (with uv package manager) are installed on your system.
2. Clone the Monzo MCP server repository and install dependencies:

   git clone https://github.com/BfdCampos/monzo-mcp-bfdcampos.git
   cd monzo-mcp-bfdcampos/monzo-mcp-bfdcampos
   uv install
   

3. Create a .env file in the project directory with your Monzo credentials.
4. In your Windsurf configuration, add the Monzo MCP server:

   {
     "mcpServers": {
       "monzo-mcp-bfdcampos": {
         "command": "python",
         "args": ["server.py"]
       }
     }
   }
   

5. Save your configuration and restart Windsurf. Verify connection by checking for Monzo MCP options in your client.

Claude

1. Install prerequisites (Node.js, Python, and uv).
2. Clone and install the Monzo MCP server as above.
3. Set up your .env file with Monzo credentials.
4. In Claude’s MCP configuration, add the following:

   {
     "mcpServers": {
       "monzo-mcp-bfdcampos": {
         "command": "python",
         "args": ["server.py"]
       }
     }
   }
   

5. Save and restart Claude. Verify Monzo MCP is available.

Cursor

1. Clone the repo and install dependencies as per installation instructions.
2. Add your .env with Monzo API credentials.
3. Edit Cursor’s MCP configuration:

   {
     "mcpServers": {
       "monzo-mcp-bfdcampos": {
         "command": "python",
         "args": ["server.py"]
       }
     }
   }
   

4. Restart Cursor and check for Monzo MCP connection.

Cline

1. Prepare your environment and install all dependencies.
2. Clone the Monzo MCP server and configure .env with the required API keys.
3. In Cline’s MCP config, add:

   {
     "mcpServers": {
       "monzo-mcp-bfdcampos": {
         "command": "python",
         "args": ["server.py"]
       }
     }
   }
   

4. Save and restart the application to enable the Monzo MCP server.

Securing API Keys

Store all sensitive keys in your .env file and reference them in your MCP server configuration. Example:

{
  "env": {
    "MONZO_CLIENT_ID": "your_client_id",
    "MONZO_CLIENT_SECRET": "your_client_secret"
  },
  "inputs": {
    "account_id": "your_account_id"
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "monzo-mcp-bfdcampos": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “monzo-mcp-bfdcampos” to whatever the actual name of your MCP server is, and replace the URL with your own MCP server URL.

Overview

Our opinion

While the Monzo MCP server offers a valuable bridge to Monzo banking data for AI agents, the current repository lacks documentation on prompts, resources, and tools, which limits its out-of-the-box utility for complex workflows. Setup instructions are clear, and security via environment variables is supported. For now, it’s a solid starting point for personal financial automation but would benefit from more detailed MCP integration features.

MCP Score

Score: 3/10 — Primary value is in the core banking integration, but lacks extensibility, community engagement, and documentation for broader MCP features.