"Honey" matching MCP servers:

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

Unofficial, community-maintained stdio MCP server for Money Forward ME that uses cookie-based authentication to retrieve accounts and assets from manual entry accounts.

This MCP server bridges Copilot Money with AI platforms like Claude and Cursor. It provides tools for fetching transactions, account balances, and automated data cleanup. By enabling secure, programmable access to financial records, it allows agents to perform complex tasks like transaction tagging and spending audits autonomously.

Enables auditing spending history to find transactions with missing or questionable categories and getting ranked, history-based category candidates for confirmation. Also supports writing approved category fixes back and importing missing transactions from bank statements, with preview-by-default writes.

A Model Context Protocol server that connects Claude to the HoneyBook client portal, giving you natural-language access to contracts and invoices sent by your wedding vendors.

Enables AI assistants to create payment links, invoices, and read order/balance status for Tegro.money payment shops, with safe read-and-collect-only access.

Enables AI assistants to manage personal finances through the Realbyte Money Manager mobile app, providing transaction management, asset tracking, credit card monitoring, and financial analytics with 18 comprehensive tools.

Enables integration with Monarch Money to query financial data, analyze spending patterns, track budgets, and get personalized financial insights through conversational AI with Claude Desktop.

Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.

Enables natural language control of Homey Pro smart home systems, including devices, flows, zones, energy monitoring, weather, alarms, and system management, with 43 tools and troubleshooting prompts.

Enables AI agents to manage stablecoin payments including customer management, quotes, transfers, virtual accounts, and webhooks via the Stables API.

An MCP server providing full integration with the Lunch Money API to manage financial data including transactions, budgets, assets, and categories. It enables AI assistants to perform CRUD operations on financial records through a standardized HTTP interface.

Enables AI agents to interact with your Lunch Money personal finance data, providing tools for managing transactions, categories, budgets, assets, and accounts.

Enables interaction with Monarch Money data via MCP tools for accounts, budgets, and transactions.

MCP servers for your Mac's real data — Mail, Calendar, files — with safety rails you can audit. Local-first, no accounts, no cloud, with dry-run defaults and human approval gates.

Enables natural-language exploration of Lunch Money transactions, budgets, accounts, and recurring expenses via MCP, with read-only financial access.

Connects AI agents to real-world fiat banking rails through a non-custodial Circle Agent Wallet on Arc, enabling USDC conversion into local bank or mobile money payments and wallet funding via bank transfers. It supports chat-native approvals and on-chain verification against Arc transfer receipts.

Enables AI assistants to control and query smart home devices through Homey Pro via an HTTP-based MCP server.

Provides read-only access to self-hosted cash-flow forecasts, balances, transactions, and credit-card data, letting AI clients answer spending and upcoming-obligation questions without modifying financial settings.

MCP server for personal finance tracking, enabling expense/income recording, budget management, and financial summaries through 16 tools.

A remote, multi-user MCP server for splitting group expenses, enabling users to register, create groups, add members, log expenses, and view balances through MCP clients.

An MCP server that enables AI assistants to interact directly with Lunch Money's financial API, allowing users to query transactions, access budget information, and perform financial analysis through natural language.