Twosplit
MCP for judged outputs between two AIs for a better output
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
This will open your configuration file where you can add the Twosplit MCP server manually.
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
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