ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.
Overview
What is Scaled MCP Server?
Scaled MCP Server is a horizontally scalable implementation of the Message Context Protocol (MCP) designed for AI applications, allowing for load-balanced deployments.
How to use Scaled MCP Server?
To use Scaled MCP, install it via Go with the command go get github.com/traego/scaled-mcp@latest, and then embed it in your application following the provided usage examples.
Key features of Scaled MCP Server?
- HTTP Transport: Flexible HTTP transport with a main
/mcpendpoint and optional SSE endpoint. - Session Management: Supports distributed session management using Redis or in-memory options.
- Actor System: Utilizes an actor-based architecture for efficient session handling and message routing.
- Horizontal Scaling: Designed for load-balanced deployments across multiple nodes.
Use cases of Scaled MCP Server?
- Building scalable AI applications that require real-time messaging.
- Implementing distributed systems that need efficient session management.
- Creating tools that require dynamic tool registries for various operations.
FAQ from Scaled MCP Server?
- What programming language is Scaled MCP written in?
Scaled MCP is written in Go.
- Is there a license for Scaled MCP?
Yes, it is licensed under the MIT License.
- How can I contribute to Scaled MCP?
Contributions are welcome! You can fork the repository and submit a pull request.