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Multi-AI AdvisorCAUTION

mcp/yuchenssr/multi-ai-advisor
MCP server by yuchenssr · ai communication · llm council · ollama · Audited 2026-10-07
⚑ Report / re-scanSource ↗

council of models for decision

Verdict
CAUTION
Grade
B
Trust score
85 /100
Exposed tools
2 2r · 0w · 0d
Transport
stdio
License
MIT
Stars
88
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

(锵锵四人行)

[](https://smithery.ai/server/@YuChenSSR/multi-ai-advisor-mcp)

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.

graph TD
A[Start] --> B[Worker Local AI 1 Opinion]
A --> C[Worker Local AI 2 Opinion]
A --> D[Worker Local AI 3 Opinion]
B --> E[Manager AI]
C --> E
D --> E
E --> F[Decision Made]

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:

npx -y @smithery/cli install @YuChenSSR/multi-ai-advisor-mcp --client claude

Manual Installation

  1. Clone this repository:
git clone https://github.com/YuChenSSR/multi-ai-advisor-mcp.git 
cd multi-ai-advisor-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. In
Read from source at commit 1fd721adcba1OBSERVED · 2026-10-07
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.

claude-code
claude mcp add multi-model-advisor -- npx -y [email protected]
claude-desktop
{
  "mcpServers": {
    "multi-model-advisor": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ]
    }
  }
}
03

Exposed tools (2)

2 read · 0 write · 0 destructive.

ToolRiskDescription
list-available-modelsreadList all available models in Ollama that can be used with query-models
query-modelsreadQuery multiple AI models via Ollama and get their responses to compare perspectives
04

Trust audit

CAUTIONgrade B · trust 85/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryFAIL
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (2 observation(s))
Shell
none-observed
Dependencies
not all pinned
Secrets in source
found

Findings (3)

HIGHHard-coded secrets · inv.env_committed · CWE-798, CWE-321
.env
.env
Why it matters. a real .env in the package
Fix. ship .env.example with placeholders only
LOWInventory / provenance · inv.hidden_file · CWE-1104
.env
.env
Why it matters. hidden member outside the usual dotfiles
Fix. review its purpose
LOWSupply chain · supply.unpinned · CWE-829, CWE-1357
package.json
@modelcontextprotocol/sdk, dotenv, node-fetch, zod, @types/node, @types/node-fetch, typescript
Why it matters. 7 dependency range(s) float
Fix. pin exact versions or ship a lockfile

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 1fd721adcba1full audit observations/trust-audit/mcp-server/yuchenssr__multi-ai-advisor.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-071fd721adcba1CAUTIONB85first audit
06

Questions

What is the Multi-AI Advisor MCP server?

council of models for decision

What tools does Multi-AI Advisor expose?

2 in total: 2 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.

Is Multi-AI Advisor safe to connect to an agent?

With care. The audit graded it B (85/100) and found 3 things worth knowing before you trust this server, listed below with the exact line each was found on.

What credentials does Multi-AI Advisor need?

No credential environment variables were found in its source, so it appears to need none.

How does Multi-AI Advisor run?

It speaks stdio, so it runs as a local process your client starts. It is published on npm as multi-model-advisor at 1.0.0.

How current is this page?

The grade is for one exact copy of the source (1fd721adcba1), read on 2026-10-07. The repository is watched and re-audited when it changes.

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