Lunchmoney▌

by leafeye
Connect to the Lunchmoney API for easy transaction tracking, spending analysis, and budget summaries to improve your fin
Integrates with the Lunchmoney personal finance API to enable transaction retrieval, spending analysis, and budget summaries for enhanced financial management.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Personal finance tracking and analysis
- / Budget monitoring through conversational AI
- / Spending pattern insights via natural language queries
capabilities
- / Retrieve recent transactions from past N days
- / Search transactions by payee or note keywords
- / Analyze spending by category
- / Get budget summaries with remaining amounts
what it does
Connects your Lunchmoney personal finance app to AI assistants so you can ask natural language questions about your spending, transactions, and budgets.
about
Lunchmoney is a community-built MCP server published by leafeye that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to the Lunchmoney API for easy transaction tracking, spending analysis, and budget summaries to improve your fin It is categorized under finance, analytics data.
how to install
You can install Lunchmoney in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Lunchmoney is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Lunchmoney MCP Server
A Model Context Protocol (MCP) server that lets you interact with your Lunchmoney transactions and budgets through Claude and other AI assistants.
What is this?
This tool allows you to connect your Lunchmoney financial data to Claude AI, so you can ask questions about your spending, analyze your budget, and get insights about your finances through a natural conversation.
Features
This server provides four main tools:
- get-recent-transactions: View your recent transactions from the past N days
- search-transactions: Search transactions by keyword in payee names or notes
- get-category-spending: Analyze spending in specific categories
- get-budget-summary: Get detailed budget information including spending, remaining amounts, and recurring items
Privacy and Data Handling
Important: MCP provides a structured way for Claude to interact with your Lunchmoney data while maintaining privacy boundaries. Here's what you should know:
- Claude (the host) creates a client that connects to your local MCP server
- Your Lunchmoney API token stays on your local machine
- The MCP server runs locally and fetches data from Lunchmoney's API
- You will be asked to approve each request to access your Lunchmoney data
- When you ask a question about your finances, Claude requests specific information from the MCP server
- The MCP server processes your request locally and returns only the relevant results
- Claude never has direct access to your full financial data or API token
- Only the specific information requested (like transaction summaries or budget status) is shared with Claude
- Anthropic's data retention policies apply to these summary results that are part of your conversation
- Each server connection is isolated, maintaining clear security boundaries
You can find more about MCP in the documentaion: https://modelcontextprotocol.io/introduction
Installation
Also look at the offical Claude documentation: https://modelcontextprotocol.io/quickstart/user
Using npx
Node.js is a software platform that lets you run JavaScript code on your computer (outside of a web browser).
To install Node.js:
- Windows/Mac: Download and run the installer from the official Node.js website
- Mac with Homebrew: Run
brew install nodein Terminal - Linux: Use your package manager (e.g.,
sudo apt install nodejsfor Ubuntu)
Once Node.js is installed on your computer, you can run the server directly without downloading anything:
- Get your Lunchmoney API token from your Lunchmoney developer settings
- Open Claude Desktop
- Go to Settings → Developer ->
Edit Config - Add the following configuration:
{
"mcpServers": {
"lunchmoney": {
"command": "npx",
"args": ["-y", "lunchmoney-mcp-server"],
"env": {
"LUNCHMONEY_TOKEN": "your_token_here"
}
}
}
}
Replace your_token_here with your actual Lunchmoney API token.
Important Note: After changing the configuration, you may need to restart Claude Desktop for the changes to take effect.
Example Usage
Once configured in Claude Desktop, you can ask questions like:
Transactions
- "Show me my recent transactions from the past week"
- "Search for all transactions at Amazon"
- "How much did I spend on restaurants last month?"
- "Find transactions tagged as business expenses"
Budgets
- "Show me my budget summary for this month"
- "What's my budget status from January to March 2024?"
- "How much of my food budget is remaining?"
- "Show me categories where I'm over budget"
What is MCP?
The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.
Some key benefits of MCP:
- Standardized way to expose data and functionality to LLMs
- Human-in-the-loop security (all actions require user approval)
- Growing ecosystem of pre-built integrations
- Works with multiple AI models and applications
Troubleshooting
Claude says it can't connect to my MCP server:
- Make sure the configuration in Claude's Developer settings is correct
- Try restarting Claude Desktop after changing the configuration
- Check that your Lunchmoney API token is valid
Claude doesn't recognize Lunchmoney commands:
- Start a new conversation in Claude
- Try explicitly mentioning Lunchmoney in your query (e.g., "Show me my recent Lunchmoney transactions")
API Notes
- Budget data must use month boundaries for dates (e.g., 2024-01-01 to 2024-01-31)
- Transactions can use any date range
- All monetary values are returned in their original currency
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
FAQ
- What is the Lunchmoney MCP server?
- Lunchmoney is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Lunchmoney?
- This profile displays 38 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★38 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
We wired Lunchmoney into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Alexander Jain· Dec 28, 2024
We evaluated Lunchmoney against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kwame Anderson· Dec 24, 2024
Lunchmoney has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Piyush G· Nov 19, 2024
Lunchmoney reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Aarav Lopez· Nov 19, 2024
Lunchmoney is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Shikha Mishra· Oct 10, 2024
Lunchmoney is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arya Smith· Oct 10, 2024
Lunchmoney reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Arjun Wang· Sep 25, 2024
Lunchmoney has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chinedu Kapoor· Sep 17, 2024
According to our notes, Lunchmoney benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Aarav Ndlovu· Sep 13, 2024
I recommend Lunchmoney for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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