mcp-gateway-registry and mcp-gateway

These are complementary tools within the MCP gateway ecosystem—the registry provides centralized discovery and authentication infrastructure while the plugin-based gateway consumes and orchestrates those registered MCPs, allowing developers to build integrated agent systems.

mcp-gateway-registry
59
Established
mcp-gateway
49
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 24/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 14/25
Stars: 481
Forks: 108
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 352
Forks: 28
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About mcp-gateway-registry

agentic-community/mcp-gateway-registry

Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding assistants. Transform scattered MCP server chaos into governed, auditable tool access with Keycloak/Entra integration.

This platform helps AI development teams centralize access to their AI development tools and autonomous AI agents. It takes a chaotic collection of individual tool configurations and agent connections and turns them into a secure, governed, and easily discoverable system. AI platform engineers and enterprise architects can use this to manage all their AI development resources in one place.

AI Platform Management Enterprise AI Governance AI Tool Orchestration Agent Lifecycle Management AI Security & Compliance

About mcp-gateway

lasso-security/mcp-gateway

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

This is for developers building AI agents and services that interact with various Model Context Protocol (MCP) servers and large language models (LLMs). It acts as a central hub, taking your server configurations and routing requests to the appropriate MCPs, while also enhancing security and managing server lifecycles. Developers can use it to create robust, secure, and well-managed enterprise-grade AI applications.

AI-infrastructure LLM-development API-orchestration data-security enterprise-AI

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