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**Enterprise-Ready Gateway for AI Development Tools**

Enterprise-Grade MCP Server & Registry¶

A comprehensive solution for managing, securing, and accessing Model Context Protocol (MCP) servers at scale. Built for enterprises, development teams, and autonomous AI agents.

Demo Videos¶

MCP Tools in Action¶

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

Key Features¶

Enterprise-Ready Architecture¶

• Reverse Proxy: Centralized access point for all MCP servers
• Service Discovery: Automatic registration and health monitoring
• Load Balancing: Intelligent request distribution across server instances
• High Availability: Production-ready deployment patterns

Advanced Security & Authentication¶

• OAuth 2.0 Integration: Amazon Cognito, Google, GitHub, and custom providers
• Fine-Grained Access Control: Role-based permissions with scope management
• JWT Token Vending: Secure token generation and validation
• Audit Logging: Comprehensive security event tracking

AI Agent Optimization¶

• Dynamic Tool Discovery: Runtime MCP server and tool enumeration
• Intelligent Tool Finder: AI-powered tool recommendation and selection
• Autonomous Access Control: Context-aware permission management
• Multi-Agent Coordination: Shared resource access with conflict resolution

Developer Experience¶

• React Web Interface: Intuitive server management and monitoring
• REST API: Programmatic registry management and integration
• AI Coding Assistant Integration: VS Code, Cursor, Claude Code support
• Real-Time Monitoring: Live server health and performance metrics

Quick Start¶

Get up and running in 5 minutes with Docker Compose:

# 1. Clone and setup
git clone https://github.com/agentic-community/mcp-gateway-registry.git
cd mcp-gateway-registry

# 2. Configure environment
cp .env.example .env
# Edit .env with your AWS Cognito credentials

# 3. Generate authentication credentials  
./credentials-provider/generate_creds.sh

# 4. Deploy with Docker Compose
docker-compose up -d

# 5. Access the registry
open http://localhost:7860

The registry will be available at http://localhost:7860 with example MCP servers pre-configured.

Architecture Overview¶

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/>Amazon 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

The MCP Gateway & Registry acts as a centralized hub that:

1. Authenticates users and AI agents through OAuth providers
2. Authorizes access based on fine-grained scopes and permissions
3. Routes requests to appropriate MCP servers
4. Monitors server health and performance
5. Discovers available tools and capabilities dynamically

Use Cases¶

Enterprise Integration¶

Transform how both autonomous AI agents and development teams access enterprise systems:

• Unified Access Point: Single endpoint for all MCP servers across your organization
• Enterprise SSO: Integration with existing identity providers (Cognito, SAML, OIDC)
• Compliance & Governance: Comprehensive audit trails and access control policies
• Scalable Architecture: Support for hundreds of MCP servers and thousands of concurrent users

AI Agent Workflows¶

Enable sophisticated AI agent interactions with enterprise systems:

• Dynamic Tool Discovery: Agents discover and utilize tools based on current context
• Intelligent Tool Selection: AI-powered recommendations for optimal tool usage
• Multi-Agent Coordination: Shared access to enterprise resources with conflict resolution
• Context-Aware Permissions: Dynamic access control based on agent capabilities and current task

Development Team Productivity¶

Accelerate development workflows with integrated tooling:

• IDE Integration: Native support for VS Code, Cursor, and Claude Code
• Real-Time Collaboration: Shared access to development tools and services
• Environment Management: Consistent tool access across development, staging, and production
• API-First Design: Programmatic access for custom integrations and automation

Documentation¶

Community & Support¶

Getting Help - FAQ & Troubleshooting - Common questions and solutions - GitHub Issues - Bug reports and feature requests - GitHub Discussions - Community support and ideas

Resources - Demo Videos - See the platform in action

Contributing - Contributing Guide - How to contribute code and documentation - Code of Conduct - Community guidelines and expectations

License¶

This project is licensed under the MIT License - see the LICENSE file for details.

Part of the Agentic Community ecosystem - building the future of AI-driven development.