Vendor-neutral MCP configuration manager — one CLI to add, toggle, and audit MCP servers and skills across every AI client, with safety built in

Local-first MCP gateway. One port for every tool and every AI client: lazy discovery (~90% token savings), tool integrity + quarantine, secrets in the OS keychain.

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.

MCP server for Vorim AI — AI agent identity, permissions, and audit trails. 19 tools for Claude, OpenAI, Cursor, VS Code, and any MCP-compatible client.

Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code and Windsurf.

Minimal Postgres editor for speed, collaboration, and AI

Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.

A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

The full featured self-hosted Codex gateway, for teams, agents and you

ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

A Free, Open Source MCP server for dynamic custom persona management with public a GitHub collection of personas, skills, templates, and other elements for AI models.

Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.