S

Scaled MCP

A horizontally scalable implementation of the MCP server
2.5 points
31

What is Scaled MCP Server?

Scaled MCP Server is a server implementation developed in Go language, specifically designed to handle MCP (Message Context Protocol) messages. It adopts a distributed architecture design, which can be easily scaled to handle high-concurrency scenarios and provides flexible tool integration capabilities.

How to use Scaled MCP Server?

You can integrate the server through simple Go code, supporting two main usage modes: running as an independent service or embedding into an existing HTTP service. The server provides rich configuration options and tool management functions.

Use Cases

It is particularly suitable for enterprise-level applications that need to handle a large number of AI dialogue requests, platforms that need to integrate multiple AI tools, and intelligent service backends that require high availability and scalability.

Main Features

HTTP Transport ProtocolProvides a flexible HTTP transport layer, supporting the main MCP endpoint, optional SSE (Server-Sent Events) endpoint, and capability negotiation
Distributed Session ManagementSupports session management with Redis or in-memory storage, ensuring session state consistency during horizontal scaling
Actor-Based ArchitectureAdopts the Actor model to handle sessions and message routing, improving concurrent processing capabilities and system stability
Horizontal Scaling SupportDesigned for load-balanced deployment, it can be easily scaled to multiple nodes to handle high-concurrency requests
Flexible Tool IntegrationSupports static and dynamic tool registration, enabling easy expansion of AI capabilities

Advantages and Limitations

Advantages
High-performance design, supporting high-concurrency request processing
Flexible deployment options, can run as an independent service or be embedded into an existing system
A complete tool management mechanism, facilitating the expansion of AI capabilities
Good scalability, supporting horizontal scaling to handle traffic growth
Comprehensive protocol support, compatible with the MCP specification
Limitations
Requires a Go 1.24 or higher runtime environment
Redis is recommended for the production environment, increasing infrastructure dependencies
Some advanced features (such as A2A support) are still under development
Beginners may need time to understand the concept of the Actor model

How to Use

Install the Library
Install the Scaled MCP Server library using the Go module system
Basic Configuration
Create the default configuration and adjust the parameters as needed
Define Tools
Create and register your AI tools, defining input parameters and processing logic
Start the Server
Create a server instance and start the service
Integrate into an Existing Service (Optional)
If you already have an HTTP service, you can integrate the MCP endpoint into the existing routes

Usage Examples

Calculator Tool IntegrationIntegrate a simple calculator tool that supports addition, subtraction, multiplication, and division operations
Weather Query ServiceCreate a weather query tool that returns weather information based on the location
Collaborative Work of Multiple ToolsUse the calculator and unit conversion tools together to complete complex calculations

Frequently Asked Questions

What is the MCP protocol?
Why is Redis recommended for the production environment?
How to add a new AI tool?
What types of tool parameters are supported?
How to monitor server performance?

Related Resources

GitHub Repository
Project source code and issue tracking
Go Documentation
Complete API reference documentation
MCP Protocol Specification
The official specification document of the MCP protocol
Example Projects
Example code for various use scenarios
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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