Lightweight security guidance tool that injects requirements into AI-driven coding via Jira and Confluence.

The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.

Transforms Git repositories into concise, text-based digests for AI-driven reasoning with targeted filters.

Unified interface to access and manage Flowcore data with natural language prompts, fast ingestion, and secure authentication.

ElizaOS plugin allowing agents to connect to MCP servers

Reusable MCP server template enabling quick Cursor IDE integration via Docker, SSE, or Python, with mood-based interactions.

Reverse-engineered design documents for Anthropic Claude Code CLI - implementation-ready specifications

MCP Server for Perses

🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.

End-to-end scalable inference and agentic AI on AWS EKS, combining CPU/GPU options, retrieval augmented generation, document processing, and a unified model gateway with observability.

Bitte Protocol integration to run AI Agents on several blockchains.

Infrastructure as Code for MCP access management

MCP Market

An MCP server for pinning GitHub Actions and container base images to their immutable SHA hashes to prevent supply chain attacks.

Aggregates cross-platform code search to streamline LLM access to examples, docs, and packages with robust caching.

Allows LLM to interact with libvirt thus enabling to create, destroy or list the Virtual Machines in a system.

A sequential thinking MCP server extension for Zed

mcp server esa

Turn scattered ChatGPT/Claude/Cursor conversations into persistent, searchable knowledge.

TypeScript-based toolchain enabling AI agents to manage apt packages via sudo, with install, remove, update, and query operations.

Dockerized MCP component delivering Cortex API context from your workspace for context-aware AI responses.

Offline-first AI framework delivering Dockerized full-stack apps with declarative PKL and local LLMs.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.

Cómo crear MCP Servers y usarlos con GitHub Copilot Chat 🚀💻🤖