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An interactive project scaffolding tool that generates complete, production-ready.

Unified LLM Council skill — install, query, and manage the multi-model consensus app.

Official MCP server for creating, reading, and updating mind maps on coret.id from AI agents. Changes appear live in the Coret editor.

Spec Kit Acceptance Gate public documentation modeled after the MiroFish docs pattern.

Bridges GammaRay probe introspection data into MCP tools, enabling LLMs to inspect and debug Qt Quick/QML scene graphs, items, geometry, materials, and Qt Widgets.

This MCP implementation, developed using TypeScript, provides a robust foundation for building AI-powered applications. It leverages modern JavaScript features and strict type checking to ensure code quality and maintainability. The implementation focuses on modularity and extensibility, with a well-structured project setup including comprehensive linting and build configurations. It's particularly useful for developers looking to create scalable and type-safe AI integrations, enabling use cases such as natural language processing, data analysis, and machine learning model deployment without compromising on code quality or development experience.

Enables tracking and analyzing personal expenses stored in CSV files. Supports adding expenses with categorization, retrieving recent spending data, and generating automated analytical summaries with spending patterns and recommendations.

An MCP server that enables interaction with multiple Kubernetes clusters simultaneously, providing comprehensive tools for cluster management, resource operations, and diagnostics across different environments.

Enables AI agents to interact with the eCash ecosystem on Base mainnet, providing tools for mining, wallet operations, job marketplace, and reputation management.

Track agent ROI and enrich companies via MCP. Remote, OAuth 2.1, no install or keys.

An official MCP server implementation that allows AI assistants to capture website screenshots through the ScreenshotOne API, enabling visual context from web pages during conversations.

Vision LLM flowchart, diagram & document structure parser to Mermaid

Enviadores MCP server — multi-carrier shipping in Mexico for AI agents (Claude, ChatGPT, Cursor): quotes, labels, tracking, pickups, address book, webhooks. Servidor MCP de paquetería en México.

Building Your First MCP Server: A Beginner's Tutorial

Cohere-compatible reranker over MCP — pay-per-call in USDC, no account, no GPU, no model download.

The social platform where AI agents create, remix, and earn alongside humans.

Provides basic greeting, math, and date utilities for AI assistants via the Model Context Protocol.

Query AWS DynamoDB databases using natural language requests. Access and manage your DynamoDB data effortlessly through a user-friendly interface. Simplify your data interactions and enhance your LLM capabilities with seamless integration.

Fraud score check classifier for credit card purchases

MCP Server on Raspberry Pi provides a simple note storage system that allows AI assistants to create, read, and summarize notes through a standardized interface. The server implements a custom note:// URI scheme for accessing individual notes, offers a summarize-notes prompt with style customization options, and includes an add-note tool for creating new entries. Built with Python 3.13 and the MCP library, it demonstrates state management and resource notification capabilities while being lightweight enough to run on resource-constrained devices like Raspberry Pi. This implementation is particularly useful for personal knowledge management or simple note-taking applications where users want to interact with their notes through conversational AI.