Master MCP Server
Master MCP Server is a unified endpoint that aggregates multiple MCP services, providing configuration-driven module loading, unified capability discovery, resilient request routing, and OAuth multi-backend authentication functions
rating : 2.5 points
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What is Master MCP Server?
Master MCP Server is an intelligent gateway service that allows you to connect and manage multiple Model Context Protocol (MCP) servers through a single secure endpoint. Like an intelligent router, it automatically distributes your requests to different AI service backends and provides unified authentication, monitoring, and management functions.How to use Master MCP Server?
It's very simple to use: 1) Define the backend services to connect to through the configuration file. 2) Start the main server. 3) Access all functions through the unified API endpoint. The server will automatically handle authentication, load balancing, and error recovery.Use cases
Suitable for scenarios where multiple AI services (such as OpenAI, Anthropic, local models, etc.) need to be used simultaneously, especially in enterprise environments that require unified authentication, monitoring, and fault recovery.Main features
Multi-backend aggregation
Aggregate multiple MCP servers into a single endpoint for unified management and access
OAuth authentication support
Supports OAuth processes such as main token passthrough, delegate provider process, and proxy refresh
Configuration-driven
Use JSON/YAML configuration files for settings, supporting schema validation and key resolution
Resilient routing
Provides resilient mechanisms such as load balancing, backoff retry, jitter algorithm, and circuit breaker
Cross-platform support
Supports Node.js servers and Cloudflare Workers runtime environments
Production-ready
Provides deployment solutions for production environments such as Docker, Cloudflare Workers, and Koyeb
Advantages
Simplify the management and access of multi-backend services
Provide unified authentication and security control
Automatically perform failover and load balancing to improve reliability
Support multiple deployment methods, offering high flexibility
Have complete monitoring and health check functions
Limitations
Require additional configuration and learning costs
Have a single point of failure risk (which can be mitigated through cluster deployment)
May introduce additional network latency
Have a certain threshold for users unfamiliar with the M protocol
How to use
Install dependencies
Ensure that Node.js is installed on the system, and then install the project dependencies
Configure the environment
Copy the environment configuration file and modify it according to the actual situation
Configure backend services
Create a configuration file to define the backend MCP servers to connect to
Start the server
Start the server in development mode for testing
Verify the running status
Access the health check endpoint to confirm that the server is running normally
Usage examples
Unified access to multiple AI services
An enterprise needs to use OpenAI, Anthropic, and locally deployed model services simultaneously. Master MCP Server is used to manage authentication and access in a unified manner.
OAuth authentication management
Provide unified authentication process management for multiple backend services that require OAuth authentication
High-availability deployment
Deploy multiple Master MCP Server instances in the production environment to achieve load balancing and failover
Frequently Asked Questions
What is the difference between Master MCP Server and an ordinary MCP server?
What types of backend servers are supported?
How to ensure security?
How much is the performance overhead?
Does it support custom extensions?
Related resources
Official documentation
Complete installation, configuration, and usage guide
API reference
Detailed API interface descriptions and examples
Sample code
Sample configurations and code for various use cases
Deployment guide
Best practices and configurations for production environment deployment
Problem feedback
Report problems or propose feature suggestions

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