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YuChenSSR/multi-ai-advisor

YuChenSSR/multi-ai-advisor

๐Ÿ“‡ ๐Ÿ  - Query multiple Ollama models and combine their responses for diverse perspectives on a single question
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Config template (adjust for your client)
claude mcp add multi-ai-advisor-mcp -- npx -y multi-ai-advisor-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
88 โ˜… ยท YuChenSSR/multi-ai-advisor-mcp ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร— ยท listed by 10 sources
Score
score 1,003 ยท 88 โ˜… ยท 10 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository YuChenSSR/multi-ai-advisor-mcp๏ผ›first catalogued 2026-10-09๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
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Multi-Model Advisor

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

(้”ต้”ตๅ››ไบบ่กŒ)
A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question. This creates a "council of advisors" approach where Claude can synthesize multiple viewpoints alongside its own to provide more comprehensive answers.
Features
- Query multiple Ollama models with a single question
- Assign different roles/personas to each model
- View all available Ollama models on your system
- Customize system prompts for each model
- Configure via environment variables
- Integrate seamlessly with Claude for Desktop
Prerequisites
- Node.js 16.x or higher
- Ollama installed and running (see Ollama installation)
- Claude for Desktop (for the complete advisory experience)
Installation
Installing via Smithery
To install multi-ai-advisor-mcp for Claude Desktop automatically via Smithery:
Manual Installation
1. Clone this repository:
2. Install dependencies:
3. Build the project:
4. Install required Ollama models:
Configuration
Create a .env file in the project root with your desired configuration:
Connect to Claude for Desktop
1. Locate your Claude for Desktop configuration file:
- MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Edit the file to add the Multi-Model Advisor MCP server:
3. Replace /absolute/path/to/ with the actual path to your project directory
4. Restart Claude for Desktop
Usage
Once connected to Claude for Desktop, you can use the Multi-Model Advisor in several ways:
List Available Models
You can see all available models on your system:
This will display all installed Ollama models and indicate which ones are configured as defaults.
Basic Usage
Simply ask Claude to use the multi-model advisor:
Claude will query all default models and provide a synthesized response based on their different perspectives.
How It Works
1. The MCP server exposes two tools:
- list-available-models: Shows all Ollama models on your system
- query-models: Queries multiple models with a question
2. When you ask Claude a question referring to the multi-model advisor:
- Claude decides to use the query-models tool
- The server sends your question to multiple Ollama models
- Each model responds with its perspective
- Claude receives all responses and synthesizes a comprehensive answer
3. Each model can have a different "persona" or role assigned, encouraging diverse perspectives.
Troubleshooting
Ollama Connection Issues
If the server can't connect to Ollama:
- Ensure Ollama is running (ollama serve)
- Check that the OLLAMA_API_URL is correct in your .env file
- Try accessing http://localhost:11434 in your browser to verify Ollama is responding
Source
awesome ยท https://github.com/YuChenSSR/multi-ai-advisor-mcp
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