Multi LLM Cross MCP Server

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously

Local serverstdioPython

What is the Multi LLM Cross MCP server?

Multi LLM Cross MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously.

What you get

A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously. This server integrates with Claude Desktop as an MCP server to provide a unified interface for querying different LLM APIs.

  • Query multiple LLM providers in parallel
  • Currently supports:
  • OpenAI (ChatGPT)
  • Anthropic (Claude)
  • Perplexity AI
  • Google (Gemini)

Setting it up

The server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Configuration and credentials

You will need 4 environment variables: OPENAI_API_KEY, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.8 or higher - API keys for the LLM providers you want to use - uv package manager (install with pip install uv)

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the multi llm cross mcp server does with a few real requests.

Choosing this one

Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by lior-ps; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

How to install the Multi LLM Cross MCP server

{
  "mcpServers": {
    "multi-llm-cross-check": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Python 3.8 or higher - API keys for the LLM providers you want to use - uv package manager (install with pip install uv)
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes
ANTHROPIC_API_KEYCredential the server authenticates with.Yes
PERPLEXITY_API_KEYCredential the server authenticates with.Yes
GEMINI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

Python 3.8 or higher, API keys for the desired LLM providers, and the uv package manager installed via `pip install uv`.