Multi-MCP server
io.github.religa/multi-mcp·v0.1.1·36 starsMulti-model AI orchestration MCP server with code review, compare, and debate tools.
36 stars23 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Multi-MCP tools (4)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
chatcodereviewmodelsList available AI models. Returns model names, aliases, provider, and configuration.
versionGet server version, configuration details, and list of available tools.
Public scan report
scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it
- Code scan47 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 2 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Multi-MCP compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 68% of 4,460 AI and agents servers
- Tools
- 4
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 36
- more than 91% of 2,711 AI and agents servers
- Downloads a week
- 23
- more than 9% of 1,538 AI and agents servers with a package
What its tools let an agent do: 4 read
Install Multi-MCP in Claude Code, Cursor or VS Code
claude mcp add multi-mcp -- uvx multi-mcp
What the publisher says
From the Multi-MCP repository's README, as published. We do not edit it. Read it on GitHub
Multi-MCP: Multi-Model Code Review and Analysis MCP Server for Claude Code
<!-- mcp-name: io.github.religa/multi-mcp -->
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.
Features
- 🔍 Code Review - Systematic workflow with OWASP Top 10 security checks and performance analysis
- 💬 Chat - Interactive development assistance with repository context awareness
- 🔄 Compare - Parallel multi-model analysis for architectural decisions
- 🎭 Debate - Multi-agent consensus workflow (independent answers + critique)
- 🤖 Multi-Model Support - OpenAI GPT, Anthropic Claude, Google Gemini, and OpenRouter
- 🖥️ CLI & API Models - Mix CLI-based (Gemini CLI, Codex CLI) and API models
- 🏷️ Model Aliases - Use short names like mini, sonnet, gemini
- 🧵 Threading - Maintain context across multi-step reviews
How It Works
Multi-MCP acts as an MCP server that Claude Code or OpenCode connects to, providing AI-powered code analysis tools:
- Install the MCP server and configure your AI model API keys
- Integrate with Claude Code or OpenCode automatically via make install
- Invoke tools using natural language (e.g., "multi codereview this file")
- Get Results from multiple AI models orchestrated in parallel
Performance
Fast Multi-Model Analysis:
- ⚡ Parallel Execution - 3 models in ~10s (vs ~30s sequential)
- 🔄 Async Architecture - Non-blocking Python asyncio
- 💾 Conversation Threading - Maintains context across multi-step reviews
- 📊 Low Latency - Response time = slowest model, not sum of all models
Quick Start
Prerequisites:
- Python 3.11+
- API key for at least one provider (OpenAI, Anthropic, Google, or OpenRouter)
Installation
<!-- Claude Code Plugin - Coming Soon
Option 1: Claude Code Plugin (Recommended)
# Add the marketplace
/plugin marketplace add religa/multi_mcp
# Install the plugin
/plugin install multi-mcp@multi_mcpThen configure API keys in ~/.multi_mcp/.env (see Configuration). -->
Option 1: From Source
# 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 installationOption 2: Manual Configuration
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 keysAdd to Claude Code (~/.claude.json) or OpenCode (~/.opencode/opencode.json), replacing /path/to/multi_mcp with your actual clone path:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Multi-MCP: common questions
- Is Multi-MCP server safe?
- Mostly: it is graded B (83/100). Read the Multi-MCP safety report
- How do I install Multi-MCP?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Multi-MCP need an API key?
- Yes. The registry entry asks for
OPENAI_API_KEY,ANTHROPIC_API_KEY,GEMINI_API_KEY,OPENROUTER_API_KEY. - Is Multi-MCP maintained?
- The last commit was 35 days ago (2026-09-30). The latest release is v0.1.1.
- What can I use instead of Multi-MCP?
- Servers from other publishers that do the same job: PaperBanana MCP server, OpenWorkProof MCP server and three.ws Brain MCP server.
- How does Multi-MCP compare with other AI and agents MCP servers?
- safety score 83/100 (higher than 68% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Multi-MCP
Same job from other publishers: the closest match first, then the best rated.
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- OpenWorkProofVerifiable agent evidence; opt-in Codex guard and reference SOC alert review.not reviewedEstablishedA
- three.ws BrainList LLM providers and run chat completions through the three.ws multi-provider router.not reviewedEstablishedB
- Claude PromptsReusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.not reviewedEstablishedA
MapleReview comments pinned to a running frontend, read and resolved by your coding agent.not reviewedEstablishedB