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MCP server: normalize, trim, collapse, or expand whitespace in text.

MCP server: hash and verify passwords with bcrypt.

Enables developers to integrate privacy-preserving identity verification from the Self protocol into their apps. Provides integration guides, code generation, blockchain configuration reading, and debugging assistance for age verification, airdrop eligibility, and humanity checks.

Public MCP server providing amateur radio tools and calculations for IARU Region 1 operators, including band plans, frequency checks, antenna calculations, and Austrian callsign lookups.

This MCP server turns any Obsidian vault into an AI-queryable knowledge graph, enabling graph traversal, search, and backlink-aware note manipulation without requiring Obsidian to be running.

Cited Australian tax answers from 34,500+ ATO documents, legislation and public rulings.

A Spring Boot AI-powered MongoDB MCP server that enables AI assistants to interact with MongoDB databases through a set of specialized tools. This implementation provides capabilities for listing databases and collections, executing simple and complex queries, managing indexes, creating collections, and inserting documents. Built with Spring AI and MongoDB Java driver, it exposes MongoDB operations as MCP tools that can be called by AI models. The server is configured to run as a non-web application that connects to a MongoDB instance specified through environment variables, making it ideal for scenarios where AI systems need to access, query, and manipulate data stored in MongoDB databases.

Enables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.

Enables LLMs to interact with DuckDB databases through MCP tools for SQL queries, table management, data import/export, and schema inspection, with optional read-only mode for safety.

Enables interaction with the LifeUp gamification app running on Android devices over a local network connection. Provides tools for creating and managing tasks, querying achievements, browsing shop items, and viewing user progress including skills and coin balance. Features intelligent achievement matching that suggests relevant achievements based on task keywords, safe mode for read-only operations, and comprehensive error handling for network connectivity issues. Useful for gamifying productivity workflows and integrating habit-building mechanics into task management.

Provides AI assistants with access to RubyUI component library documentation, including listing components, fetching docs, searching, and getting installation/theming guides.

Unofficial read-only MCP server to log into Kanpla and read canteen menus using your account credentials.

A real-time financial data streaming server built with the official Model Context Protocol (MCP) C# SDK. Integrates with the FinnHub API and provides Server-Sent Events (SSE) and Standard Input/Output (STDIO) Transport to stream live financial data.

Proactive multi-agent orchestration with real-time fiscal governance. Features 'Agentic Circuit Breakers' and dynamic model routing to prevent cloud bill shock in autonomous workflows.

Connects Claude.ai with Google's Gemini API to generate images and videos using your own API key.

A Model Context Protocol server that enables AI assistants to manage and interact with Godot Engine projects, including project management, script editing, scene manipulation, asset management, and export.

MCP server for searching and retrieving icons via Iconify API

Enables control of MHS-5200A series signal generators via serial connection, including frequency, amplitude, waveform, and sweep settings.

Intentionally hallucinated tool calls: See what your agent would have done if it had the chance.

This MCP server provides read-only access to PostgreSQL databases, allowing AI models to inspect database schemas and execute read-only queries. It offers tools for querying and retrieving schema information, automatically discovering table structures from database metadata. The implementation is designed to work seamlessly with the Claude Desktop app, supporting both Docker and NPX deployment options. It's particularly useful for scenarios where AI assistants need to analyze database structures or perform data exploration tasks without risking data modification.