Lunch Flow
MCP ServerLocal

Lunch Flow MCP Server

Connect your AI assistant to Lunch Flow using the Model Context Protocol. Access banking data and tools through natural language.

Server Type
Local
Runs locally via npm package
Transport Protocol
Standard I/O (stdio)
Process-based communication via stdin/stdout
Authentication
API Key
Set your API key as an environment variable
Available Tools
3 tools
Functions your AI assistant can call

Installation

$ npx -y @lunchflow/mcp

NPM Package: @lunchflow/mcp

Required Environment Variables

LUNCHFLOW_API_KEYRequired for authentication

Available Tools (3)

These are the MCP tools that Lunch Flow exposes for AI assistants:

lunchflow_list_accounts
lunchflow_get_account_transactions
lunchflow_get_account_balance

What is MCP (Model Context Protocol)?

The Model Context Protocol (MCP) is an open standard that enables AI assistants like Claude, ChatGPT, and others to securely connect to external data sources and tools. MCP servers act as bridges between AI models and real-world services.

How Lunch Flow's MCP Server Works

With Lunch Flow's MCP server, AI assistants can directly access banking data and functionality through natural language. Instead of manually navigating dashboards or writing API calls, you can simply ask your AI assistant to retrieve account information, analyze transactions, or perform other banking operations.

Benefits of MCP Integration

  • Natural Language Access: Query banking data using conversational prompts
  • Secure Authentication: MCP handles authentication securely without exposing credentials
  • Real-time Data: Access live data from Lunch Flow's platform
  • Tool Composability: Combine banking tools with other MCP servers for powerful workflows

Getting Started

To use Lunch Flow's MCP server, you'll need an AI client that supports MCP (such as Claude Desktop or Cursor), along with valid Lunch Flow credentials. Follow the configuration steps above to connect your AI assistant.

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