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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/Cognito integration.

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What is MCP Gateway & Registry?

TheMCP Gateway & Registry is an enterprise-ready platform that centralizes access to AI development tools using theModel Context Protocol (MCP). Instead of managing hundreds of individual tool configurations across your development teams, provide secure, governed access to curated AI tools through a single platform.

Transform this chaos:

❌ AI agents require separate connections to each MCP server❌ Each developer configures VS Code, Cursor, Claude Code individually❌ Developers must install and manage MCP servers locally❌ No standard authentication flow for enterprise tools❌ Scattered API keys and credentials across tools  ❌ No visibility into what tools teams are using❌ Security risks from unmanaged tool sprawl❌ No dynamic tool discovery for autonomous agents❌ No curated tool catalog for multi-tenant environments

Into this organized approach:

✅ AI agents connect to one gateway, access multiple MCP servers✅ Single configuration point for VS Code, Cursor, Claude Code✅ Central IT manages cloud-hosted MCP infrastructure via streamable HTTP✅ Developers use standard OAuth 2LO/3LO flows for enterprise MCP servers✅ Centralized credential management with secure vault integration✅ Complete visibility and audit trail for all tool usage✅ Enterprise-grade security with governed tool access✅ Dynamic tool discovery and invocation for autonomous workflows✅ Registry provides discoverable, curated MCP servers for multi-tenant use
┌─────────────────────────────────────┐     ┌──────────────────────────────────────┐│          BEFORE: Chaos              │     │       AFTER: MCP Gateway             │├─────────────────────────────────────┤     ├──────────────────────────────────────┤│                                     │     │                                      ││  Developer 1 ──┬──► MCP Server A    │     │  Developer 1 ──┐                     ││                ├──► MCP Server B    │     │                │                     ││                └──► MCP Server C    │     │  Developer 2 ──┼──► MCP Gateway      ││                                     │     │                │         │           ││  Developer 2 ──┬──► MCP Server A    │ ──► │  AI Agent 1 ───┘         ├──► MCP A  ││                ├──► MCP Server D    │     │                          ├──► MCP B  ││                └──► MCP Server E    │     │  AI Agent 2 ─────────────├──► MCP C  ││                                     │     │                          ├──► MCP D  ││  AI Agent 1 ───┬──► MCP Server B    │     │  AI Agent 3 ─────────────├──► MCP E  ││                ├──► MCP Server C    │     │                          └──► MCP F  ││                └──► MCP Server F    │     │                                      ││                                     │     │          Single Connection           ││  ❌ Multiple connections per user  │      │         ✅ One gateway for all      ││  ❌ No centralized control         │     │          ✅ Dynamic discovery        ││  ❌ Credential sprawl               │     │         ✅ Unified governance       │└─────────────────────────────────────┘     └──────────────────────────────────────┘

MCP Tools in Action

MCP Tools Demo

Experience dynamic tool discovery and intelligent MCP server integration in real-time


MCP Registry CLI

Interactive terminal interface for chatting with AI models and discovering MCP tools in natural language. Talk to the registry using a Claude Code-like conversational interface with real-time token status, cost tracking, and AI model selection.

MCP Registry CLI Screenshot

Quick Start:registry --url https://mcpgateway.ddns.net |Full Guide


What's New

  • 🤖 Agentic CLI for MCP Registry - Talk to the Registry in natural language using a Claude Code-like interface. Discover tools, ask questions, and execute MCP commands conversationally.Learn more
  • 💬 Interactive MCP-Registry CLI - Terminal-based chat interface with AI-powered MCP tool discovery. Supports Amazon Bedrock and Anthropic API.MCP-Registry CLI
  • 🔒 MCP Server Security Scanning - Integrated vulnerability scanning withCisco AI Defence MCP Scanner. Automatic security scans during server registration, periodic registry-wide scans with detailed markdown reports, and automatic disabling of servers with security issues.
  • 📥 Import Servers from Anthropic MCP Registry - Import curated MCP servers from Anthropic's registry with a single command.Import Guide
  • 🔌 Anthropic MCP Registry REST API Compatibility - Full compatibility with Anthropic's MCP Registry REST API specification.API Documentation
  • 🚀 Pre-built Images - Deploy instantly with pre-built Docker images.Get Started |macOS Guide
  • 🔐 Keycloak Integration - Enterprise authentication with AI agent audit trails and group-based authorization.Learn more
  • 📊 Real-Time Metrics & Observability - Grafana dashboards with SQLite and OpenTelemetry integration.Observability Guide
  • Amazon Bedrock AgentCore Integration - AgentCore Gateway support with dual authentication.Integration Guide

Core Use Cases

AI Agent & Coding Assistant Governance

Provide both autonomous AI agents and human developers with secure access to approved tools through AI coding assistants (VS Code, Cursor, Claude Code) while maintaining IT oversight and compliance.

Enterprise Security & Compliance

Centralized authentication, fine-grained permissions, and comprehensive audit trails for SOX/GDPR compliance pathways across both human and AI agent access patterns.

Dynamic Tool Discovery

AI agents can autonomously discover and execute specialized tools beyond their initial capabilities using intelligent semantic search, while developers get guided tool discovery through their coding assistants.

Unified Access Gateway

Single gateway supporting both autonomous AI agents (machine-to-machine) and AI coding assistants (human-guided) with consistent authentication and tool access patterns.


Architecture

The MCP Gateway & Registry provides a unified platform for both autonomous AI agents and AI coding assistants to access enterprise-curated tools through a centralized gateway with comprehensive authentication and governance.

flowchart TB    subgraph Human_Users["Human Users"]        User1["Human User 1"]        User2["Human User 2"]        UserN["Human User N"]    end    subgraph AI_Agents["AI Agents"]        Agent1["AI Agent 1"]        Agent2["AI Agent 2"]        Agent3["AI Agent 3"]        AgentN["AI Agent N"]    end    subgraph EC2_Gateway["<b>MCP Gateway & Registry</b> (Amazon EC2 Instance)"]        subgraph NGINX["NGINX Reverse Proxy"]            RP["Reverse Proxy Router"]        end                subgraph AuthRegistry["Authentication & Registry Services"]            AuthServer["Auth Server<br/>(Dual Auth)"]            Registry["Registry<br/>Web UI"]            RegistryMCP["Registry<br/>MCP Server"]        end                subgraph LocalMCPServers["Local MCP Servers"]            MCP_Local1["MCP Server 1"]            MCP_Local2["MCP Server 2"]        end    end        %% Identity Provider    IdP[Identity Provider<br/>Keycloak/Cognito]        subgraph EKS_Cluster["Amazon EKS/EC2 Cluster"]        MCP_EKS1["MCP Server 3"]        MCP_EKS2["MCP Server 4"]    end        subgraph APIGW_Lambda["Amazon API Gateway + AWS Lambda"]        API_GW["Amazon API Gateway"]        Lambda1["AWS Lambda Function 1"]        Lambda2["AWS Lambda Function 2"]    end        subgraph External_Systems["External Data Sources & APIs"]        DB1[(Database 1)]        DB2[(Database 2)]        API1["External API 1"]        API2["External API 2"]        API3["External API 3"]    end        %% Connections from Human Users    User1 -->|Web Browser<br>Authentication| IdP    User2 -->|Web Browser<br>Authentication| IdP    UserN -->|Web Browser<br>Authentication| IdP    User1 -->|Web Browser<br>HTTPS| Registry    User2 -->|Web Browser<br>HTTPS| Registry    UserN -->|Web Browser<br>HTTPS| Registry        %% Connections from Agents to Gateway    Agent1 -->|MCP Protocol<br>SSE with Auth| RP    Agent2 -->|MCP Protocol<br>SSE with Auth| RP    Agent3 -->|MCP Protocol<br>Streamable HTTP with Auth| RP    AgentN -->|MCP Protocol<br>Streamable HTTP with Auth| RP        %% Auth flow connections    RP -->|Auth validation| AuthServer    AuthServer -.->|Validate credentials| IdP    Registry -.->|User authentication| IdP    RP -->|Tool discovery| RegistryMCP    RP -->|Web UI access| Registry        %% Connections from Gateway to MCP Servers    RP -->|SSE| MCP_Local1    RP -->|SSE| MCP_Local2    RP -->|SSE| MCP_EKS1    RP -->|SSE| MCP_EKS2    RP -->|Streamable HTTP| API_GW        %% Connections within API GW + Lambda    API_GW --> Lambda1    API_GW --> Lambda2        %% Connections to External Systems    MCP_Local1 -->|Tool Connection| DB1    MCP_Local2 -->|Tool Connection| DB2    MCP_EKS1 -->|Tool Connection| API1    MCP_EKS2 -->|Tool Connection| API2    Lambda1 -->|Tool Connection| API3    %% Style definitions    classDef user fill:#fff9c4,stroke:#f57f17,stroke-width:2px    classDef agent fill:#e1f5fe,stroke:#29b6f6,stroke-width:2px    classDef gateway fill:#e8f5e9,stroke:#66bb6a,stroke-width:2px    classDef nginx fill:#f3e5f5,stroke:#ab47bc,stroke-width:2px    classDef mcpServer fill:#fff3e0,stroke:#ffa726,stroke-width:2px    classDef eks fill:#ede7f6,stroke:#7e57c2,stroke-width:2px    classDef apiGw fill:#fce4ec,stroke:#ec407a,stroke-width:2px    classDef lambda fill:#ffebee,stroke:#ef5350,stroke-width:2px    classDef dataSource fill:#e3f2fd,stroke:#2196f3,stroke-width:2px        %% Apply styles    class User1,User2,UserN user    class Agent1,Agent2,Agent3,AgentN agent    class EC2_Gateway,NGINX gateway    class RP nginx    class AuthServer,Registry,RegistryMCP gateway    class IdP apiGw    class MCP_Local1,MCP_Local2 mcpServer    class EKS_Cluster,MCP_EKS1,MCP_EKS2 eks    class API_GW apiGw    class Lambda1,Lambda2 lambda    class DB1,DB2,API1,API2,API3 dataSource
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Key Architectural Benefits:

  • Unified Gateway: Single point of access for both AI agents and human developers through coding assistants
  • Dual Authentication: Supports both human user authentication and machine-to-machine agent authentication
  • Scalable Infrastructure: Nginx reverse proxy with horizontal scaling capabilities
  • Multiple Transports: SSE and Streamable HTTP support for different client requirements

Key Advantages

Enterprise-Grade Security

  • OAuth 2.0/3.0 compliance with IdP integration
  • Fine-grained access control at tool and method level
  • Zero-trust network architecture
  • Complete audit trails and comprehensive analytics for compliance

AI Agent & Developer Experience

  • Single configuration works across autonomous AI agents and AI coding assistants (VS Code, Cursor, Claude Code, Cline)
  • Dynamic tool discovery with natural language queries for both agents and humans
  • Instant onboarding for new team members and AI agent deployments
  • Unified governance for both AI agents and human developers

Production Ready

  • Container-native (Docker/Kubernetes)
  • Real-time health monitoring and alerting
  • Dual authentication supporting both human and machine authentication

Quick Start

📱 Running on macOS? See ourmacOS Setup Guide for platform-specific instructions and optimizations.

Option A: Pre-built Images (Instant Setup)

Get running in under 2 minutes with pre-built containers:

Step 1: Clone and setup

git clone https://github.com/agentic-community/mcp-gateway-registry.gitcd mcp-gateway-registrycp .env.example .env

Step 2: Download embeddings modelDownload the required sentence-transformers model to the shared models directory:

hf download sentence-transformers/all-MiniLM-L6-v2 --local-dir${HOME}/mcp-gateway/models/all-MiniLM-L6-v2

Step 3: Configure environmentComplete:Initial Environment Configuration - Configure domains, passwords, and authentication

export DOCKERHUB_ORG=mcpgateway

Step 4: Deploy with pre-built images

./build_and_run.sh --prebuilt

For detailed information about all Docker images used with--prebuilt, seePre-built Images Documentation.

Step 5: Initialize KeycloakComplete:Initialize Keycloak Configuration - Set up identity provider and security policies

Step 6: Access the registry

open http://localhost:7860

Step 7: Create your first agentComplete:Create Your First AI Agent Account - Create agent credentials for testing

Step 8: Restart auth server to apply new credentials

docker-compose down auth-server&& docker-compose rm -f auth-server&& docker-compose up -d auth-server

Step 9: Test the setupComplete:Testing with mcp_client.py and agent.py - Validate your setup works correctly

Benefits: No build time • No Node.js required • No frontend compilation • Consistent tested images

Option B: Build from Source

New to MCP Gateway? Start with ourComplete Setup Guide for detailed step-by-step instructions from scratch on AWS EC2.

Testing & Integration Options

Python Scripts:

  • ./cli/mcp_client.py - Core MCP operations (ping, list tools, call tools)
  • ./tests/mcp_cmds.sh - Shell-based MCP testing operations

Python Agent:

  • agents/agent.py - Full-featured Python agent with advanced AI capabilities

Next Steps:Testing Guide |Complete Installation Guide |Authentication Setup |AI Assistant Integration


Enterprise Features

AI Agents & Coding Assistants Integration

Transform how both autonomous AI agents and development teams access enterprise tools with centralized governance:

Roo Code MCP Configuration

Enterprise-curated MCP servers accessible through unified gateway

Roo Code Agent in Action

AI assistants executing approved enterprise tools with governance

Observability

Comprehensive real-time metrics and monitoring through Grafana dashboards with dual-path storage: SQLite for detailed historical analysis and OpenTelemetry (OTEL) export for integration with Prometheus, CloudWatch, Datadog, and other monitoring platforms. Track authentication events, tool executions, discovery queries, and system performance metrics.Learn more

Grafana Metrics Dashboard

Real-time metrics and observability dashboard tracking server health, tool usage, and authentication events

Anthropic MCP Registry Integration

Seamlessly integrate with Anthropic's official MCP Registry to import and access curated MCP servers through your gateway:

  • Import Servers: Select and import desired servers from Anthropic's registry with a single command
  • Unified Access: Access imported servers through your gateway with centralized authentication and governance
  • API Compatibility: Full support for Anthropic's Registry REST API specification - point your Anthropic API clients to this registry to discover available servers

Anthropic Registry Integration

Import and access curated MCP servers from Anthropic's official registry

Import Guide |Registry API Documentation

Security Scanning

Integrated Vulnerability Detection:

  • Automated Security Scanning - Integrated vulnerability scanning for MCP servers usingCisco AI Defence MCP Scanner, with automatic scans during registration and support for periodic registry-wide scans
  • Detailed Security Reports - Comprehensive markdown reports with vulnerability details, severity assessments, and remediation recommendations
  • Automatic Protection - Servers with security issues are automatically disabled with security-pending status to protect your infrastructure
  • Compliance Ready - Security audit trails and vulnerability tracking for enterprise compliance requirements

Authentication & Authorization

Multiple Identity Modes:

  • Machine-to-Machine (M2M) - For autonomous AI agents and automated systems
  • Three-Legged OAuth (3LO) - For external service integration (Atlassian, Google, GitHub)
  • Session-Based - For human developers using AI coding assistants and web interface

Supported Identity Providers: Keycloak, Amazon Cognito, and any OAuth 2.0 compatible provider.Learn more

Fine-Grained Permissions: Tool-level, method-level, team-based, and temporary access controls.Learn more

Production Deployment

Cloud Platforms: Amazon EC2, Amazon EKS


Documentation

Getting StartedEnterprise SetupDeveloper & Operations
Complete Setup Guide
NEW! Step-by-step from scratch on AWS EC2
Authentication Guide
OAuth and identity provider integration
AI Coding Assistants Setup
VS Code, Cursor, Claude Code integration
Installation Guide
Complete setup instructions for EC2 and EKS
Keycloak Integration
Enterprise identity with agent audit trails
API Reference
Programmatic registry management
Quick Start Tutorial
Get running in 5 minutes
Amazon Cognito Setup
Step-by-step IdP configuration
Token Refresh Service
Automated token refresh and lifecycle management
Configuration Reference
Environment variables and settings
Anthropic Registry Import
NEW! Import servers from Anthropic MCP Registry
Observability Guide
NEW! Metrics, monitoring, and OpenTelemetry setup
Anthropic Registry API
NEW! REST API compatibility
Fine-Grained Access Control
Permission management and security
Dynamic Tool Discovery
Autonomous agent capabilities
Service Management
Server lifecycle and operations
Production Deployment
Complete setup for production environments
Troubleshooting Guide
Common issues and solutions

Community

Get Involved

Join the Discussion

Contributing

Star History

Star History Chart

Roadmap

The following GitHub issues represent our current development roadmap and planned features:

Major Features

DevOps & Operations

Completed

For the complete list of open issues, feature requests, and bug reports, visit ourGitHub Issues page.


License

This project is licensed under the Apache-2.0 License - see theLICENSE file for details.


⭐ Star this repository if it helps your organization!

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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/Cognito integration.

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