# Twosplit MCP Server

> Use this tool when you need to generate more accurate and comprehensive responses to complex prompts by leveraging multiple AI instances. The Twosplit MCP Server solves problems of response inconsistency and limited context understanding by combining the strengths of separate Claude instances. It takes in a prompt as input and outputs a refined response, making it ideal for use cases where nuanced and detailed answers are required.

Canonical page: https://skillsregistry.net/skills/lazerthings-twosplit  
JSON: https://api.skillsregistry.net/v1/skills/lazerthings-twosplit

## Description

An MCP server that leverages multiple Claude instances to provide enhanced responses by sending the same prompt to two separate instances and using a third to combine or select the best elements.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lw5jmxpzgb)
- **Repository:** <https://github.com/LazerThings/twosplit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lazerthings-twosplit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lazerthings-twosplit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lazerthings-twosplit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt