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Expense Management

An expense management MCP server

Provides tools for natural language expense management, including automated categorization using embeddings and real-time transaction tracking. It enables users to create expenses, generate spending summaries, and analyze subscriptions through the Model Context Protocol.

Expense Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A Model Context Protocol server designed for tracking and managing personal or business expenses. It enables users to log financial transactions and organize expenditure data through integrated tools.

A lightweight server built with FastMCP and SQLite for managing personal finances. It allows users to add, list, and summarize expenses by category through MCP-compatible clients.

Enables users to track and manage daily expenses through SQLite storage, supporting operations like adding, updating, deleting expenses, calculating totals by category, and filtering expenses by date range or category.

Enables natural language expense management with SQLite storage, allowing users to add expenses, view totals, and list all expenses through conversational commands.

Enables AI assistants like Claude to manage personal expenses locally using SQLite. Supports adding, categorizing, summarizing expenses, setting budgets, and exporting data without cloud services.

Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.

Enables AI assistants to manage personal finances by storing, analyzing, and exporting expense data using a persistent PostgreSQL database. Supports adding/editing expenses, generating spending summaries, detecting top categories, and creating monthly reports.

An AI-powered financial management engine that enables budgeting, smart expense tracking, and affordability analytics via the Model Context Protocol. It allows AI assistants to interact with financial data through natural language for tasks like category detection, bulk expense ingestion, and budget impact predictions.

Expensivefav MCP

MCP servers for interacting with Algolia

Enables AI models to consult a configured advanced model (e.g., GPT-5.5, Claude Opus 4.7) via a streamable HTTP MCP server for deep analysis and expert advice on complex problems.

Explainability Report - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI to perform peer review of its own code changes by displaying annotated diffs with inline comments in a VS Code/Cursor panel. The AI can analyze its modifications and provide explanations directly alongside the changed code, similar to human code review workflows.

Integrates the Exploit-DB database with AI assistants to enable searching for exploits, shellcodes, and proof-of-concept code during penetration testing workflows. It allows users to perform keyword searches and direct CVE-to-exploit mappings to retrieve technical security data.

A proof-of-concept attack that exploits Model Context Protocol (MCP) tool registration to achieve persistent agent poisoning in AI assistants like Cursor, embedding malicious instructions that persist across chat contexts without requiring tool execution.

This MCP server scrapes Amazon product details and reviews, manages a local JSON database, and visualizes intelligence data through a rich dashboard.

A demonstration MCP server that exposes basic arithmetic tools (add, subtract, ping) through FastAPI and shows how to integrate them with OpenAI's tool-calling API for LLM orchestration.

Enables AI-powered semantic search through Expo SDK documentation across multiple versions (v51-v53 and latest), allowing developers to quickly find relevant documentation with configurable similarity scoring.