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    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.
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    Enables AI assistants to interact with Money Lover personal finance app through unofficial REST API. Supports authentication, wallet management, transaction querying, and creating new transactions for expense tracking.
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    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.
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    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.
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    Enables AI assistants to query and manage personal finance data through the unofficial Money Lover REST API. It provides 27 tools covering authentication, wallets, categories, transactions, events, debts, and static configuration with both read and write capabilities.
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    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.
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    MIT
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    Enables AI agents to interact with the Honeybadger error monitoring service to list, filter, and analyze fault data. It provides tools for fetching error lists and retrieving detailed fault information from Honeybadger projects.
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    Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.
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    A Model Context Protocol server that allows AI assistants to interact with Lunch Money accounts, enabling management of transactions, categories, budgets, and other financial data through natural language commands.
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    MIT
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    An MCP server that provides access to personal financial data from Monarch Money, allowing users to retrieve account information, transactions, budgets, goals, and net worth through natural language queries.
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    Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.
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    1,980
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    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.
    Last updated