找到适合你的 MCP Server，快速完成接入

A comprehensive Model Context Protocol (MCP) server for EVE Online traffic, navigation, and system information using both the official ESI API and SDE data.

A Model Context Protocol server that allows AI assistants like Claude to interact with Evernote, enabling them to create, search, read, and manage notes through natural language.

Enables Claude to interact with Evernote notes and notebooks, supporting full-text search, note operations (create, read, update, delete), and multiple output formats for both International Evernote and Yinxiang Biji.

A Model Context Protocol (MCP) server that provides access to EVE University Wiki content with automatic Wayback Machine fallback for enhanced reliability. This server enables AI assistants to search, retrieve, and explore EVE Online knowledge from the comprehensive EVE University Wiki, making it a

Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.

Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.

An MCP server that allows LLMs to read, analyze, and interact with Excel files through file operations, data discovery, and comprehensive analysis tools.

An MCP server for manipulating Excel files that features a headless engine for real-time formula calculation and data validation. It enables users to create, read, and manage workbooks, sheets, and charts without requiring Microsoft Excel installed.

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.

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.

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.

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.