What prerequisites are needed to run Multi-Model Advisor?
Node.js 16.x or higher, Ollama installed and running (locally), and Claude for Desktop for the complete advisory experience.
@YuChenSSR
基本信息
council of models for decision
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"multi-model-advisor": {
"command": "node",
"args": [
"/absolute/path/to/multi-model-advisor/build/index.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Multi-Model Advisor is a Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, creating a "council of advisors" approach. It is designed for users who want diverse AI perspectives on a single question, allowing Claude to synthesize multiple viewpoints alongside its own. It integrates locally with Ollama and Claude for Desktop.
Install via Smithery or manually (clone, npm install, build, pull models with ollama pull). Configure a .env file with model names and system prompts. Connect to Claude for Desktop by editing its claude_desktop_config.json. Once connected, ask Claude to use the multi-model advisor (e.g., "what are the most important skills..." and name models). The server exposes two tools: list-available-models and query-models.
Node.js 16.x or higher, Ollama installed and running (locally), and Claude for Desktop for the complete advisory experience.
All queries are run against local Ollama models. No data is sent externally; everything stays on your machine.
The default models are `gemma3:1b`, `llama3.2:1b`, and `deepseek-r1:1.5b`. Custom models can be set via the `DEFAULT_MODELS` environment variable.
Set system prompts for each model in the `.env` file under `GEMMA_SYSTEM_PROMPT`, `LLAMA_SYSTEM_PROMPT`, `DEEPSEEK_SYSTEM_PROMPT`, etc.
Restart Claude after updating the configuration, verify the absolute path in `claude_desktop_config.json` is correct, and check Claude's logs for error messages. Also ensure `list-available-models` is used to verify models are present.
Open-source MCP to use Blender with any LLM

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
不止于 CSS

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
MCP Toolbox for Databases is an open source MCP server for databases.
评论