The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Turn OpenAPI/Swagger services into managed MCP tools with a dashboard, authentication, path controls, and metrics.
Manage Your Kubernetes Cluster with k8s mcp-server
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
Provide different cloud products MCP Server tools to help developers manage cloud resources with AI-agent
Let AI agents investigate and operate infrastructure through declared actions, bounded by policy and host-side checks. Approvals when required, with an audit trail. By Protectorate.
Centralize ESP32 related commands and simplify getting started with seamless, LLM-driven interaction and help.
Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
Share the same project justfile tasks with your AI Coding Agent.
AI API gateway that ends manual channel switching with smart routing, auto failover, exponential cooldown, multi-URL scheduling, live request monitoring and soft-error detection.
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️
Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.
Self-hosted GitHub Copilot bridge for Claude Code and Codex CLI with OpenAI Responses, Anthropic Messages, streaming resilience, and context management.
MCP server for Git with local Ollama — zero tokens for git operations
An MCP server for Keycloak, designed to work with Keycloak for identity and access management, covering, Users, Realms, Clients, Roles, Groups, IDPs, Authentication. Searching keycloak discourse, Native builds available.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.
A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.
MCP server for full Godot 4.x engine control: 157 tools for AI-driven game development (GDScript and C#/.NET). Tested with Godot 4.7.