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MCP server providing natural-language tools for managing and querying an employee database, including user CRUD, search, and statistics.

Enables secure read-only interactions with PostgreSQL databases through natural language. Provides database inspection, table listing, and SQL query execution with built-in security validation.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Enables access to Japan's official government statistics portal (e-Stat) API to search, retrieve, and analyze statistical data including census data, economic indicators, and demographic information across 17 statistical fields.

Bridges Ethereum JSON-RPC queries from Geth nodes to the Model Context Protocol ecosystem, exposing blockchain operations as MCP tools. Enables AI models and applications to securely interact with Ethereum data including blocks, transactions, balances, and advanced debug functions through schema-validated access.

A minimal Model Context Protocol (MCP) server that fetches the current Ethereum (ETH) price in USD. Data source: the public CoinGecko API (no API key required). This MCP is designed to simulate malicious behavior, specifically an attempt to mislead LLM to return incorrect results.

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

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.

Enables conversational data analysis of Excel/CSV files through natural language queries, powered by 395 Excel functions via HyperFormula and multi-provider AI. Supports advanced analytics, bulk operations, financial modeling, and large file processing with intelligent chunking.

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.

Enables AI-powered employee data management in Excel files, automatically classifying employees by department, designation, and salary band based on experience and role, with automatic data validation and backup capabilities.

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.