Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"multi": {
"args": [
"-m",
"multi_mcp.server"
],
"type": "stdio",
"command": "/path/to/multi_mcp/.venv/bin/python"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Multi-model AI orchestration MCP server with code review, compare, and debate tools.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@anthropic-ai/gemini-cli' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @anthropic-ai/gemini-cli against OSV.dev.
Click any tool to inspect its schema.
This server is missing a description.If you've used it, help the community.
Add informationBe the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml / developer-tools
Persistent memory using a knowledge graph
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
Manage Supabase projects — databases, auth, storage, and edge functions
MCP Security Weekly
Get CVE alerts and security updates for Multi MCP Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI and OpenCode to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to automate code reviews with AI-powered insights directly in their development workflow.
mini, sonnet, geminiMulti-MCP acts as an MCP server that Claude Code or OpenCode connects to, providing AI-powered code analysis tools:
make installFast Multi-Model Analysis:
Prerequisites:
# Clone and install
git clone https://github.com/religa/multi_mcp.git
cd multi_mcp
# Execute ./scripts/install.sh
make install
# The installer will:
# 1. Install dependencies (uv sync)
# 2. Generate your .env file
# 3. Automatically add to Claude Code / OpenCode config (requires jq)
# 4. Test the installation
If you prefer not to run make install:
# Install dependencies
uv sync
# Copy and configure .env
cp .env.example .env
# Edit .env with your API keys
Add to Claude Code (~/.claude.json) or OpenCode (~/.opencode/opencode.json), replacing /path/to/multi_mcp with your actual clone path:
Claude Code:
{
"mcpServers": {
"multi": {
"type": "stdio",
"command": "/path/to/multi_mcp/.venv/bin/python",
"args": ["-m", "multi_mcp.server"]
}
}
}
OpenCode:
{
"mcp": {
"multi": {
"type": "local",
"command": ["/path/to/multi_mcp/.venv/bin/python
... [View full README on GitHub](https://github.com/religa/multi_mcp#readme)