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 Claudemodel(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