Llm Handoff From Claude
БесплатноНе проверенEnables Claude to query other LLMs like ChatGPT, Perplexity, and Gemini for verification and comparison, eliminating manual copy-pasting.
Описание
Enables Claude to query other LLMs like ChatGPT, Perplexity, and Gemini for verification and comparison, eliminating manual copy-pasting.
README
An MCP (Model Context Protocol) server that allows Claude to query other LLMs (ChatGPT, Perplexity, Gemini) for verification and comparison without manual copy-pasting.
The Problem
When working on complex technical problems with Claude, you often want to verify Claude's responses or get alternative perspectives from other LLMs. The typical workflow involves:
- Having a detailed conversation with Claude about a problem
- Manually copying the context and question
- Opening ChatGPT, Perplexity, or Gemini in separate tabs
- Pasting the context and question into each
- Waiting for responses
- Manually comparing the different answers
This is tedious, time-consuming, and breaks your flow when you're deep in a technical discussion.
The Solution
This MCP server eliminates the copy-paste workflow by allowing Claude to directly query other LLMs on your behalf. When you want verification or alternative perspectives, you simply tell Claude "ask the other LLMs what they think about this" and it automatically:
- Takes the current conversation context
- Formulates an appropriate prompt with all the relevant details
- Queries ChatGPT, Perplexity, and/or Gemini in parallel
- Returns all responses formatted for easy comparison
- Lets you continue the conversation with all perspectives in one place
Available Tools
ask_chatgpt(prompt)- Query ChatGPT directlyask_perplexity(prompt)- Query Perplexity directlyask_gemini(prompt)- Query Gemini directlyask_all_llms(prompt)- Query all available LLMs in parallel (most useful)
The server only creates tools for LLMs you have API keys configured for.
Setup
1. Install Dependencies and Build
npm install
npm run build
2. Configure API Keys
Copy the example environment file and add your API keys:
cp env.example .env
Edit .env with your actual API keys:
OPENAI_API_KEY=sk-your-actual-openai-key
PERPLEXITY_API_KEY=your-actual-perplexity-key
GEMINI_API_KEY=your-actual-gemini-key
You don't need all three - the server works with whatever APIs you have configured.
3. Add to Claude Desktop
- Open Claude Desktop
- Go to Settings → Developer
- Click Edit Config next to "Local MCP servers"
- Add this configuration to your
claude_desktop_config.json:
{
"mcpServers": {
"llm-handoff": {
"command": "node",
"args": [
"/Users/yourusername/path/to/llm-handoff-mcp/dist/server.js"
],
"env": {}
}
}
}
Replace the path with the actual path to your project directory.
- Save the config file and restart Claude Desktop
4. Usage
Once configured, you can use natural language to invoke the tools:
- "Ask the other LLMs what they think about this"
- "Get ChatGPT and Perplexity's take on this problem"
- "Verify this solution with other models"
- "Cross-check this with all available LLMs"
Claude will automatically include the relevant conversation context when querying the other LLMs.
Updating
When you make changes to the code:
npm run build
Then restart Claude Desktop to use the updated version.
Установка Llm Handoff From Claude
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/keyhoffman/llm-handoff-from-claude-mcpFAQ
Llm Handoff From Claude MCP бесплатный?
Да, Llm Handoff From Claude MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Llm Handoff From Claude?
Нет, Llm Handoff From Claude работает без API-ключей и переменных окружения.
Llm Handoff From Claude — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Llm Handoff From Claude в Claude Desktop, Claude Code или Cursor?
Открой Llm Handoff From Claude на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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