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An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Provides comprehensive tools for querying enterprise exhibition records, searching for industry exhibitions, and retrieving detailed venue information across China. It enables users to analyze participation history and discover specific events using keyword-based fuzzy searching.

Inspect and remove EXIF metadata locally through MCP tools. Supports reading EXIF, detecting GPS, summarizing privacy risks, and stripping EXIF from images.

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.

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

Provides integrated access to location-based weather, reporting history, and infrastructure status data for safety reporting systems. It supports both SSE and stdio protocols for flexible integration with various AI agents and clients.

Eyevinn MCP

全面解析Eyevinn Open Source Cloud MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Eyevinn Open Source Cloud MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

EyevinnOSC MCP

全面解析Eyevinnosc MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Eyevinnosc MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

Provides advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.

f4ww4z MCP

全面解析F4ww4z MCP Mysql ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，F4ww4z MCP Mysql Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

f4ww4z MCP-mysql-server

公开目录未提供摘要。

Enables the deployment and management of Laravel applications on Faber servers directly from Cursor via natural language. It supports full stack orchestration, including provisioning apps, databases, SSL, and handling zero-downtime deployments and rollbacks.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub