Scaled MCP Server

@nippyperson

a year ago

ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI. a2a, ai, mcp, mcp-client, mcp-server

Overview

What is Scaled MCP Server?

Scaled MCP Server is a horizontally scalable implementation of the Message Context Protocol (MCP) designed for AI applications. It allows for load-balanced deployments and can be embedded into applications for flexible configuration.

How to use Scaled MCP Server?

To use the Scaled MCP Server, install it via Go with the command go get github.com/traego/scaled-mcp@latest. You can then create a server instance in your Go application, configure it, and start it to handle requests.

Key features of Scaled MCP Server?

HTTP Transport: Provides a flexible HTTP transport with a main /mcp endpoint and optional SSE endpoint.
Session Management: Supports distributed session management using Redis or in-memory options.
Actor System: Implements an actor-based architecture for efficient session handling and message routing.
Horizontal Scaling: Facilitates load-balanced deployments across multiple nodes.

Use cases of Scaled MCP Server?

Building AI assistants that require real-time message processing.
Implementing scalable backend services for applications that need to handle multiple concurrent sessions.
Creating tools that perform calculations or data processing in a distributed environment.

FAQ from Scaled MCP Server?

Can I use Scaled MCP Server for any AI application?

Yes! It is designed to support various AI applications that require message context handling.

Is there a specific Go version required?

Yes, it requires Go 1.24 or higher.

How can I contribute to the project?

Contributions are welcome! You can fork the repository, create a feature branch, and submit a pull request.

Build with ShipAny.