Twosplit MCP Server

An MCP server that leverages multiple Claude instances to provide enhanced responses. It sends the same prompt to two separate instances of Claude and uses a third instance to combine or select the best elements from both responses.

Features

Supports multiple Claude models:
- claude-3-opus-latest
- claude-3-5-sonnet-latest
- claude-3-5-haiku-latest
- claude-3-haiku-20240307
Gets single, direct responses from each AI
Shows original responses and source attribution
Returns optimized final response

Installation

Clone the repository
Install dependencies:

npm install

Build the server:

npm run build

Configuration

The server requires an Anthropic API key to function. Set it as an environment variable:

export ANTHROPIC_API_KEY=your-api-key-here

Usage

The server provides a single tool called twosplit with the following parameters:

prompt (required): The prompt to send to Claude
model (required): The Claude model to use (must be one of the supported models listed above)

Example tool usage in Claude:

<use_mcp_tool>
<server_name>twosplit</server_name>
<tool_name>twosplit</tool_name>
<arguments>
{
  "prompt": "Write a short story about a robot learning to paint",
  "model": "claude-3-5-sonnet-latest"
}
</arguments>
</use_mcp_tool>

The response will include:

The final optimized response
Original responses from both AIs
Source attribution showing which parts came from which AI

How it Works

The server sends the same prompt to two separate instances of the specified Claude model, requesting a single direct response
A third instance analyzes both responses and either:
- Selects the single best response if one is clearly superior
- Creates a new response that combines the best elements from both responses
The final response, original responses, and source attribution are all included in the output

Development

To run the server in watch mode during development:

npm run watch

To inspect the server's capabilities:

npm run inspector

Twosplit MCP Server