"Honey" matching MCP servers:

Enables AI assistants to manage an online store for honey and beekeeping products, including order tracking, inventory updates, sales stats, and invoice resending via the Model Context Protocol.

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

Enables AI agents to control Homey smart home devices, trigger flows, and query zones via the Homey API.

Read-only MCP and HTTP proxy server for accessing Monarch Money financial data, enabling transaction analysis, budget tracking, and cashflow insights through natural language.

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.

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

An MCP server to provide AI agents money functionalities via Nostr and Cashu.

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 AI agents to create and manage video compilations through n8n workflows with smart query optimization, quality analysis, batch processing, and trusted channel filtering for platforms like YouTube.

Enables defenders to deploy a decoy MCP tool server that records and fingerprints how LLM agents probe, escalate, and persist, without exposing real systems.

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.

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.

Enables querying a honeypot threat-intelligence database via natural language to analyze attacker activity, without writing SQL. Provides read-only tools for overview, top attackers, credentials, commands, and more.

A Model Context Protocol server that enables interaction with HomeyPro home automation systems, providing paginated access to devices, zones, and flows with comprehensive management capabilities.