Lunch Flow MCP Server: Query Claude in Natural Language, Integrate Data of Over 20,000 Global Banks

MCP

The Lunch Flow MCP Server allows users to query bank account data connected to AI assistants such as Claude through natural language. It supports access to the balances, transaction records, and spending patterns of over 20,000 banks worldwide and needs to be used with a Lunch Flow account.

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update time : 2025-12-03

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What is Lunch Flow MCP Server?

Lunch Flow MCP Server is a financial service connector based on the Model Context Protocol (MCP), which allows you to securely connect your bank account data to AI assistants (such as Claude). Through this server, you can query financial information directly in conversations without switching applications or logging into the bank website.

How to use Lunch Flow MCP Server?

The usage process is divided into three simple steps: 1) Register a Lunch Flow account and connect your bank accounts; 2) Obtain an API key; 3) Install the MCP server via Smithery or run it locally. After completion, you can directly ask financial questions in AI conversations.

Applicable scenarios

Suitable for users who need to know their financial status in real - time, including scenarios such as personal financial management, budget tracking, spending analysis, multi - account summary queries, and financial report generation. It is especially suitable for busy professionals, freelancers, and small business owners.

Main features

Multi - bank account connection

Supports connecting accounts from over 20,000 banks in more than 40 countries, including major international banks and regional financial institutions

Account list query

Get a complete list of all connected bank accounts, including account types and basic information, through the lunchflow_list_accounts tool

Transaction history view

Query the transaction records of a specific account using the lunchflow_get_account_transactions tool, supporting time filtering and classified viewing

Real - time balance query

Get the current available balance and total balance information of an account through the lunchflow_get_account_balance tool

Natural language interaction

You can obtain financial data by conversing with the AI assistant in daily language, without the need to learn complex query syntax or commands

Secure data access

Only provides read - only access. API keys are encrypted and stored, and bank credentials are not saved on the MCP server

Advantages

Extensive bank coverage: Supports over 20,000 banks in more than 40 countries worldwide

Easy to use: Query through natural language without technical background

Real - time data: Get the latest account balance and transaction information

Security guarantee: Read - only access, encrypted API keys, and no storage of bank login credentials

Open - source and transparent: The code is open - source, and users can review the security and functional implementation

Seamless integration: Perfectly integrated with mainstream AI assistants such as Claude

Limitations

Dependent on third - party services: Requires a Lunch Flow account as an intermediate layer

Read - only permission: Cannot perform transfer or payment operations through this tool

Requires network connection: All data queries require an Internet connection

Bank connection stability: Depends on the availability and stability of bank APIs

Regional restrictions: Banks in some countries may not be supported or have limited functions

How to use

Visit lunchflow.app to register an account, which is a prerequisite for connecting bank accounts

Connect bank accounts

Add and verify your bank accounts on the Lunch Flow platform, supporting the simultaneous connection of multiple banks

Obtain an API key

Install the MCP server

Install it with one click via the Smithery platform or clone the code from GitHub and run it locally

Configure the API key

Add your Lunch Flow API key to the MCP server configuration to ensure a secure connection

Start using

Start the AI assistant (such as Claude), and now you can directly ask financial - related questions

Usage examples

Daily financial check

Quickly view the current status of all bank accounts to understand the overall financial situation

Spending analysis

Analyze spending patterns during a specific period and identify major expenditure categories

Budget tracking

Compare actual expenditures with budget targets and monitor financial health

Multi - account management

Manage multiple bank accounts simultaneously and understand the distribution of funds

Transaction query

Find specific transactions or understand the flow of funds

Frequently Asked Questions

Is Lunch Flow MCP Server secure?

Which banks are supported?

Is it free?

Is the data real - time?

Can I transfer or make payments?

How can I get technical support?

Do I need programming knowledge?

Which AI assistants are supported?

Related resources

Lunch Flow official website

The main platform for registering accounts, connecting banks, and obtaining API keys

Bank coverage

View the list of supported banks and country coverage

API documentation

The complete technical documentation of the Lunch Flow API

Security instructions

Learn in detail about Lunch Flow's security measures and privacy protection

GitHub repository

The source code and issue tracking of the MCP server

Discord community

Join the community to get help, share experiences, and provide feedback and suggestions

Smithery platform

The hosting and distribution platform for the MCP server

Model Context Protocol

Understand the technical specifications and standards of the MCP protocol