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K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.

No description.

Open-source framework that gives you AI Agents that help you navigate decision-making, get personalized goals and execute them

Local-first MCP tools and dashboard for investigating Codex token usage, credits, costs, caching, and thread patterns.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

A headless, extendable, multi-session, IDA Pro MCP framework.

Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Forge is a self-hosted middleware that unifies access to multiple AI model providers (like OpenAI, Anthropic) via a single API. It supports OpenAI-compatible interfaces, encrypted API key management, and easy integration into existing tools and frontends. Built for security, scalability, and extensibility.

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

Centralize ESP32 related commands and simplify getting started with seamless, LLM-driven interaction and help.

A comprehensive library for building intelligent AI agents and applications

A Model Context Protocol server for calculating.

UniHarness (formerly HexAgent) – An agent harness that gives any LLM a computer to complete tasks the way humans do

Demonstration of an agent harness with access to tools like Slack, GitHub, and Linear so it can act as your own complete software engineer.

A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.

SmartBase Admin application for Django. A modern, modular, and developer-friendly admin interface for Django. Built to speed up development of admin panels but also SaaS end-user experiences — beautifully and efficiently.

The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"

No description.

MCP Server for Chronulus AI Forecasting and Prediction Agents

The Orchestration Layer for AI Coding Agents

A MCP server for Django applications, inspired by Laravel Boost.

MCP Server for Alpha Advantage API

Evaluation harness for OpenHands V1.

Model Context Protocol (MCP) for interacting with dicom servers (PACS etc.)

openai websearch tool as mcp server

Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.

Let Claude manage your tastytrade portfolio.

A High-Efficiency System of Large Language Model Based Search Agents